Sunday, May 31, 2020

JibberJobber + LinkedIn

JibberJobber + LinkedIn I was thinking about the years-old argument of JibberJobber vs. LinkedIn.  How is JibberJobber different than LinkedIn?  Or, Im using LinkedIn already, I dont need to use JibberJobber. One reason I wrote Im on LinkedIn Now What??? was because I heard this argument 7+ years ago when we started JibberJobber.  My response then was that JibberJobber is a great complement to LinkedIn.  People still couldnt get past the Im using LinkedIn as a networking tool, I dont want to duplicate efforts.   I found that being the author of the book on LinkedIn allowed me to have a conversation as a LinkedIn expert, not a LinkedIn competitor.  It was motivating factor in writing the book. Today I hear the same question, although less frequently.  The answer is still the same: JibberJobber is a great complement to LinkedIn. A short generalization is this: Use LinkedIn to find and be found by people.  Perhaps you can communicate with them (messaging through Groups, direct messaging, commenting on their stuff, etc.).  Some of the stuff you do will be visible to others (which means, dont expect much privacy). Use JibberJobber to organize your job search and track/manage relationships with people.  JibberJobber is like a private Salesforce.com, Goldmine, Act!, Highrise, or other CRM (customer relationship management software), with a focus on relationships and contacts and not on sales. What you do in JibberJobber is private (unless you want to share certain things with certain people). For example, you want to network into a company to pursue and opportunity you heard about.  Use LinkedIn to do research on the company, who works there, how you can network into them. Then COMMUNICATE with someone.  Whether you reach out through a Group message, or you find their number or email, or you go to their office and ask for a meeting with someone, or you go all guerrilla marketing on them and send them the Dave Perry Coffee Cup you need to talk to someone and start that relationship. Now, can you go back into LinkedIn and make private notes on who you talked to, what their cell number is (not listed on their LinkedIn Profile but you have a business card or email signature), what you talked about, when to follow-up, etc? NO.  You cant.  LinkedIns new Contacts feature starts to go there, but there are inherent dangers (read LinkedIn Contacts vs. LinkedIn Policy: Now This Issue Can’t Be Ignored). This is where JibberJobber comes in.  You will put your new contacts information into JibberJobber and make a Log Entry with details you dont want to forget for a future conversation.  You can associate your contact record to the target company, which means as you meet more people and apply to more jobs at that company, you can easily track your activities for that company. As you add companies, jobs and contacts to JibberJobber, and associate them to one another, and write Log Entries and create Action Items, you have a central hub to store all of this critical career management information. You cant tell me that sales professionals will ONLY use LinkedIn.  I guarantee you they are using LinkedIn to find prospects, research them, and hopefully find contact information.  But once they get on the phone or in person, and as they network into target companies, they are using a CRM to keep track of the progress with the relationship and their networking. As a job seeker, if you only use LinkedIn, you are missing a critical component in your career management toolbox. Most of the JibberJobber features are free.  There are a handful of things you can upgrade for. Our maximum upgrade is $9.95 or less per month (you get discounts if you buy in bulk).  Free is pretty inexpensive for a tool that empowers you so much. Competitors?  No. Complementary tools? Yes. JibberJobber + LinkedIn I was thinking about the years-old argument of JibberJobber vs. LinkedIn.  How is JibberJobber different than LinkedIn?  Or, Im using LinkedIn already, I dont need to use JibberJobber. One reason I wrote Im on LinkedIn Now What??? was because I heard this argument 7+ years ago when we started JibberJobber.  My response then was that JibberJobber is a great complement to LinkedIn.  People still couldnt get past the Im using LinkedIn as a networking tool, I dont want to duplicate efforts.   I found that being the author of the book on LinkedIn allowed me to have a conversation as a LinkedIn expert, not a LinkedIn competitor.  It was motivating factor in writing the book. Today I hear the same question, although less frequently.  The answer is still the same: JibberJobber is a great complement to LinkedIn. A short generalization is this: Use LinkedIn to find and be found by people.  Perhaps you can communicate with them (messaging through Groups, direct messaging, commenting on their stuff, etc.).  Some of the stuff you do will be visible to others (which means, dont expect much privacy). Use JibberJobber to organize your job search and track/manage relationships with people.  JibberJobber is like a private Salesforce.com, Goldmine, Act!, Highrise, or other CRM (customer relationship management software), with a focus on relationships and contacts and not on sales. What you do in JibberJobber is private (unless you want to share certain things with certain people). For example, you want to network into a company to pursue and opportunity you heard about.  Use LinkedIn to do research on the company, who works there, how you can network into them. Then COMMUNICATE with someone.  Whether you reach out through a Group message, or you find their number or email, or you go to their office and ask for a meeting with someone, or you go all guerrilla marketing on them and send them the Dave Perry Coffee Cup you need to talk to someone and start that relationship. Now, can you go back into LinkedIn and make private notes on who you talked to, what their cell number is (not listed on their LinkedIn Profile but you have a business card or email signature), what you talked about, when to follow-up, etc? NO.  You cant.  LinkedIns new Contacts feature starts to go there, but there are inherent dangers (read LinkedIn Contacts vs. LinkedIn Policy: Now This Issue Can’t Be Ignored). This is where JibberJobber comes in.  You will put your new contacts information into JibberJobber and make a Log Entry with details you dont want to forget for a future conversation.  You can associate your contact record to the target company, which means as you meet more people and apply to more jobs at that company, you can easily track your activities for that company. As you add companies, jobs and contacts to JibberJobber, and associate them to one another, and write Log Entries and create Action Items, you have a central hub to store all of this critical career management information. You cant tell me that sales professionals will ONLY use LinkedIn.  I guarantee you they are using LinkedIn to find prospects, research them, and hopefully find contact information.  But once they get on the phone or in person, and as they network into target companies, they are using a CRM to keep track of the progress with the relationship and their networking. As a job seeker, if you only use LinkedIn, you are missing a critical component in your career management toolbox. Most of the JibberJobber features are free.  There are a handful of things you can upgrade for. Our maximum upgrade is $9.95 or less per month (you get discounts if you buy in bulk).  Free is pretty inexpensive for a tool that empowers you so much. Competitors?  No. Complementary tools? Yes. JibberJobber + LinkedIn I was thinking about the years-old argument of JibberJobber vs. LinkedIn.  How is JibberJobber different than LinkedIn?  Or, Im using LinkedIn already, I dont need to use JibberJobber. One reason I wrote Im on LinkedIn Now What??? was because I heard this argument 7+ years ago when we started JibberJobber.  My response then was that JibberJobber is a great complement to LinkedIn.  People still couldnt get past the Im using LinkedIn as a networking tool, I dont want to duplicate efforts.   I found that being the author of the book on LinkedIn allowed me to have a conversation as a LinkedIn expert, not a LinkedIn competitor.  It was motivating factor in writing the book. Today I hear the same question, although less frequently.  The answer is still the same: JibberJobber is a great complement to LinkedIn. A short generalization is this: Use LinkedIn to find and be found by people.  Perhaps you can communicate with them (messaging through Groups, direct messaging, commenting on their stuff, etc.).  Some of the stuff you do will be visible to others (which means, dont expect much privacy). Use JibberJobber to organize your job search and track/manage relationships with people.  JibberJobber is like a private Salesforce.com, Goldmine, Act!, Highrise, or other CRM (customer relationship management software), with a focus on relationships and contacts and not on sales. What you do in JibberJobber is private (unless you want to share certain things with certain people). For example, you want to network into a company to pursue and opportunity you heard about.  Use LinkedIn to do research on the company, who works there, how you can network into them. Then COMMUNICATE with someone.  Whether you reach out through a Group message, or you find their number or email, or you go to their office and ask for a meeting with someone, or you go all guerrilla marketing on them and send them the Dave Perry Coffee Cup you need to talk to someone and start that relationship. Now, can you go back into LinkedIn and make private notes on who you talked to, what their cell number is (not listed on their LinkedIn Profile but you have a business card or email signature), what you talked about, when to follow-up, etc? NO.  You cant.  LinkedIns new Contacts feature starts to go there, but there are inherent dangers (read LinkedIn Contacts vs. LinkedIn Policy: Now This Issue Can’t Be Ignored). This is where JibberJobber comes in.  You will put your new contacts information into JibberJobber and make a Log Entry with details you dont want to forget for a future conversation.  You can associate your contact record to the target company, which means as you meet more people and apply to more jobs at that company, you can easily track your activities for that company. As you add companies, jobs and contacts to JibberJobber, and associate them to one another, and write Log Entries and create Action Items, you have a central hub to store all of this critical career management information. You cant tell me that sales professionals will ONLY use LinkedIn.  I guarantee you they are using LinkedIn to find prospects, research them, and hopefully find contact information.  But once they get on the phone or in person, and as they network into target companies, they are using a CRM to keep track of the progress with the relationship and their networking. As a job seeker, if you only use LinkedIn, you are missing a critical component in your career management toolbox. Most of the JibberJobber features are free.  There are a handful of things you can upgrade for. Our maximum upgrade is $9.95 or less per month (you get discounts if you buy in bulk).  Free is pretty inexpensive for a tool that empowers you so much. Competitors?  No. Complementary tools? Yes.

Thursday, May 28, 2020

Sample Email For Job Application With Resume

Sample Email For Job Application With ResumeA sample email for job application with resume is a helpful tool in enhancing your overall job search. Many of these emails contain sample resumes, which serve as a guide to what to include in the cover letter and other documents that will go with the resume. You want to have all of this information ready when you send your resume out, because the application will be rejected if it contains only the first two pages of text.A sample email for job application with resume is a great way to get ahead in the job market. These letters can be customized to address your specific needs. Here are some tips to help you with this.First, know what you want to include in the sample email for job application with resume. This will save you a lot of time. By determining this, you can begin to make sure the sample letter addresses all of the things you want to include, and you'll have a better chance of getting the application approved before it is sent out .Second, do not use the sample letter as the sole basis for sending out your own. The application can be modified to address specific requirements. Use the sample letter as a guide, and write the application on your own. If you can't do this, your application will be disqualified if it does not meet all of the requirements set forth by the letter.Third, make sure the letter clearly spells out the position you are applying for, and also state what type of job you want. For example, if you want to apply for a fast food job, use the word 'fast' before 'food.' If you want to work for Wal-Mart, use the word 'Wal-Mart' instead of 'Do.' This will ensure that you don't appear too desperate for the job, and it will eliminate the stigma of an application where you put forth all of your hard work in hopes of a great position.Fourth, do not use the sample email for job application with resume as a template for other letters. Remember, these are meant to be templates, and they should be used as such. They are not a tool to follow exactly, and your application should be tailor-made to reflect your personal style and specifications.Fifth, always answer the email in a polite but firm manner. Do not use sarcasm, and do not write vague answers. Be prepared to explain why you want the position and what you can do to be of value to the company.In short, the best use of a sample email for job application with resume is to use it as a guide, to see how to address questions, and to get a feel for how to format your professional resume. Once you have this information, use it to tailor your application to the requirements of the job, and use it as a guideline for creating a letter that has been custom-tailored to fit your specific needs. This way, you will avoid being rejected from the job, and your efforts will pay off in the end.

Sunday, May 24, 2020

15 Best Tableau Interview Questions To Hire Or Get Hired With - Algrim.co

15 Best Tableau Interview Questions To Hire Or Get Hired With - Algrim.co We've compiled the absolute best Tableau interview questions & answers. It’s no secret that big data is a hot new industry and the need for data engineers is growing just as fast. Companies today generate an overwhelming amount of data, and because of that, many organizations need help accessing, transforming, analyzing and leveraging that data as quickly as possible. And in order to succeed in today’s competitive environment, you need a robust infrastructure to store and access that valuable data - and data engineers make that possible. Not only that but data professionals need to communicate this information to non-data audiences, so they can leverage the insights to make critical business decisions - and that’s where Tableau comes in. Tableau has become an in-demand tech skill since the analytics platform and visualization tool is powerful, easy to use, and growing in popularity. But hiring for the right data engineer can be daunting. Luckily, we’ve searched for some of the best data engineer questions (and answers to look for), with a focus on vetting for Tableau knowledge. Lets get started. Table of contents: Tableau Interview Questions 1. What is Data Engineering? 2. Tell me what you know about Tableau and its products 3. From a data engineer perspective, why is Tableau useful? 4. What are the different kinds of data types in Tableau? 5. What does the day to day look like for a data engineer? 6. What are measures and dimensions in Tableau? 7. Can you explain what is the difference between .twb and .twbx extension? 9. What are the different connections you can make with your dataset? 10. What are shelves and sets? 11. What is context filter and what’s the difference between context filter to other filters? 12. What are the disadvantages of context filters? 13. What is aggregation and disaggregation of data in Tableau? 14. What is the difference between data blending and data joining in Tableau? 15. What is the Tableau Server? 1. What is Data Engineering? What you’re looking for: Someone who understands that data engineering mainly refers to data infrastructure or architecture - they will probably reference the field of ‘big data' since data engineering is a popular term within that industry. The ideal candidate will know that the data that's generated by lots of different sources like mobile, social media, www(internet) is raw data, and it needs to be scrubbed, profiled, molded and aggregated for business needs. If they use the terms ‘dark data’ or ‘dusty data’ (data that’s unstructured and untapped found in unprocessed and unanalyzed data archives or log files), then the candidate is on the right track. Ultimately, you’re looking for someone who understands that the practice of designing, architecting and implementing the data process system which helps make the converted data useful business or competitive intelligence, is called data engineering. 2. Tell me what you know about Tableau and its products What you’re looking for: A candidate who knows that Tableau is an interactive data visualization product, that’s focused on providing business intelligence. It is used to connect to the data, visualize it and create interactive dashboards for further analysis - so the ideal candidate should be able to connect the dots between data engineering to Tableau. They should be able to speak to each of Tableau’s products: Tableau Desktop: self-service data visualization and analytics tool that’s used to translate data images into optimized queries, and that’s easily accessible for businesses Tableau Server: enterprise level software used to publish desktop-based dashboards distributed through web-based Tableau server Tableau Online: a hosted version that makes BI more efficient - dashboards can be shared using desktop Tableau Reader: a free desktop application which enables you to view visualizations primarily built on Tableau Desktop. Users can filter and drill down into data but no editing features in this version Tableau Public: As the name suggests, this is the free version of Tableau software which can be used to make visualizations once the workbooks are saved on the Tableau server which can then be viewed by anyone. 3. From a data engineer perspective, why is Tableau useful? A candidate’s answer to this question shows you how they understand the big picture role of data, and the role of analytics to make sense of that data. Their answer should demonstrate that they understand how using a tool like Tableau can help make their responsibility to design, build and manage a company’s analytics databases easier. The tool allows them to churn large data sets and draw actionable business insights from it, while facilitating an uncomplicated communication method for stakeholders who may not be as data-minded as themselves. 4. What are the different kinds of data types in Tableau? What you’re looking for: The candidate should know that Tableau supports the following data-types: Boolean (true or false) Date Values Date and Time Geographical Values Text/String Number (Decimal) Number (Whole) 5. What does the day to day look like for a data engineer? You’re looking for a candidate who knows that ultimately, the role of a data engineer is to transform data into a useful format for analysis, which can include things like: Develop, construct, test and maintain architectures (like databases and large-scale processing systems) Ensure architecture will support business needs Discover data acquisition opportunities Develop dataset processes for data modeling, mining and extraction Recommend ways to improve data reliability, efficiency and quality 6. What are measures and dimensions in Tableau? A good candidate can provide simple definitions: Measures are the numeric quantities or measurable metrics of data analyzed by the dimension table Dimensions are descriptive attribute values used for multiple dimensions of an attribute which defines different characteristics 7. Can you explain what is the difference between .twb and .twbx extension? The answer you’re looking for is: .twb is an xml document which contains all the selections and layout you made in your Tableau workbook, that doesn’t contain any data .twbx is the ‘zipped’ archive containing a .twb and any external files such as extracts and background images 8. How many maximum tables can you join in Tableau? You can join a maximum of 32 tables in Tableau. 9. What are the different connections you can make with your dataset? What you’re looking for: A candidate who knows that you can either connect live to your data set or extract data onto Tableau, and define the difference. Live: Connecting live to a data set leverages its computational processing and storage. New queries will go to the database and will be reflected as new or updated within the data. Extract: An extract will make a static snapshot of the data to be used by Tableau’s data engine. The snapshot of the data can be refreshed on a recurring schedule as a whole or incrementally append data. One way to set up these schedules is via the Tableau server. You’d use extract over live connection to have the ability to use the extract anywhere and build your own visualization, without having to connect to the database. 10. What are shelves and sets? The answer you’re looking for is: Shelves are the named areas to the left and to the top of the view. Views are built using fields by placing them onto shelves. On the other hand, sets are the custom fields used to define a data subset primarily based on conditions. A set can be based upon a specific computed condition. 11. What is context filter and what’s the difference between context filter to other filters? The candidate should know that by default, all filters that you set in Tableau are computed independently. So, they should know that each filter accesses all data rows without regard to other filters, except a context filter. A context filter basically acts like an independent filter and any other filters that are set are defined as a dependent - since they will only process the data that passes through the context filter first. They should mention why a context filter would be used (improve performance on a large data source for example). Bonus points if they mention the other filters (quick and normal/traditional) and demonstrate their understanding with an example of how the filters work together. 12. What are the disadvantages of context filters? Ultimately, the candidate will know both the positive and negative of a feature, so the limitations they should discuss are: Slow performance - Often times, the context filter is not frequently changed by the user. If the filter has changed, then the database must be recompiled and the temporary table must be rewritten, which can slow down overall performance Reload time - Is when you set a dimension to context, Tableau creates a temporary table that will require a reload each time the view is initiated. 13. What is aggregation and disaggregation of data in Tableau? What you’re looking for here is a candidate who talks about how both are ways used to develop a scatterplot in order to measure and compare data values. The difference between aggregation and disaggregation is that the former is the calculated form of a specific set of values which return a single numeral value and are not user-defined, while the latter refers to viewing every data source row and analyzing data both dependently as well as independently. 14. What is the difference between data blending and data joining in Tableau? Since the core function of a data engineer is to move data around and store it efficiently, a good candidate will know that data blending is a method for combining data that supplements a table of data from one data source with columns of data from another data source. Data joining is a method of combining related data in common fields from the same data source. They should be able to discuss situations where data blending is more useful than data joining (for example, combining data from different databases that are not supported by cross-database joins or the data is at different detail levels). 15. What is the Tableau Server? The answer you’re looking for: The Tableau Server is a browser-based tool anyone can use for insight. This is for desktop and mobile. You can publish dashboards with Tableau Desktop and teams can see them throughout the business and organization. A very easy tool to use and run. Conclusion That concludes the top tableau interview questions you should use to either hire your next candidate or prepare for your next interview. Below I've outlined a higher level understanding of why businesses are looking to hire for this role in particular. After reading, it should give you a better understanding of how to position your value during the interview process and also how to be a better key player inside the business. It should help you understand why Tableau as a tool is becoming more than just that, it's becoming a position to play. At the core, you will be a multidisciplinary cross-functional player. One additional benefit I like to discuss from a leadership decision-making point of view (more on that below) is the ability to help make strategic acquisition decisions. As an employee (great to explain in the interview) you could allude to the fact that data insight can help predict and display future revenue potentials, overall market depth or traction, and point out pitfall s in qualitative thinking. With an interview, especially when thinking about Tableau, it would be recommended that you understanding competitive products as well as the reason why the Company might be looking to hire for this position. The below information will be helpful for determining the ladder. But in general, the real only competitor to Tableau is QlikView. And the main reasons why Tableau is better is because of its data integration solution, its ability to work within multidimensional data, its support for Powerpoint, ability to have a finer viewpoint on the visuals and overall its scalability. QlikView is a healthy alternative but by industry standards, those are the main reasons why an organization would choose Tableau over QlikView. Understanding Business Benefits of Data Storytelling In every aspect of being associated in a business, an individual will comes across data in some form or the other. It is vital for businesses; data is what builds and makes trade possible. Information is intangible but helps make sense out of things in the real world. Data about a particular issue can say a lot of things. Hence, no wonder, companies are investing heavily in data accumulation and analysis to study the market and make informed decisions. Data can only present the facts; you need to have a narrative for data to be able to speak. Narrating or storytelling with data helps understand data more than just staring at a piece of information. Data science, or the art of studying data from various origins, aids businesses in shaping their strategies for the present and future market to supplement their growth and profitability. This activity is more so important in today’s context of the digital era. Because of the technology, it is possible to monitor every aspect of today’s life and generate some form of data. Be it going to market, buying stuff online, video call with friends, every human action is recorded with the help of various products and services that surround us (Fitbit, Amazon, Skype). Companies analyze this information which helps them figure out how and why things are as they are, how the future could change. Data science means inferring sense from large amounts of information (a.k.a. big data). Data, in its raw form, won’t be comprehensible to anyone. Big data needs gathering and analysis by the experts who deal with large amounts of data, segregating the useful aspects and making sense out of it. But, how does data science actually help the cause? Use of data science in technology This is the guiding light for management and officials to make better decisions. Data science deals with cold hard evidence, there aren’t any assumptions involved in the process. Hence, it acts as a perfect beacon for the top-level decision makers. Management and officials could benefit from a helping hand in having a consensus on important issues. With the help of data science, management and officials can make informed decisions about the various aspects of running the business. Leading actions based on trend and helps define goals Data scientists are paid to analyze the big data and infer sense from it by spotting the trends and patterns. These trends and patterns point out to specific controlling factors that resulted in the corresponding data generation, meaning trends indicate continuity in data and in line, help understand the reason for it. It helps organizations pinpoint the cause of rise or fall in business, and hence, strategize accordingly and take actions. Trends also show where the business is heading, so, aid authorities in defining goals based on the trajectory and conditions. Adoption of best methods and focus on issues that matter Any analysis performed says a lot of things. But, the vital aspect of any analysis is to get acquainted with the scenario. It helps to understand what is going on, how it is affected by others, does it affect others. Data science reveals the bigger picture of the data. It shows every aspect of business changes, meaning concerned personnel are able to focus on the issues that hold higher priority over others and respond accordingly. Identifying opportunities A critical aspect of any business is being aware of market opportunities and taking advantage of them. Data science, through a data scientist, helps businesses identify these market opportunities. The data scientist works on the current system, evaluating its processes, tools, and assumptions; looking to improve the value derived from the data further. Reasoning decisions with quantified, data-driven evidence In a time when the concept of data science was not even conceived, companies sometimes had to take a risk in making decisions due to lack of appropriate insight. The emergence of data science has helped the business community by providing the much-needed insight into any matter that needs addressing. Companies can now take steps forward with confidence knowing that their decisions are backed by proven theories. Evaluation of decisions For an effective strategy deployment, businesses should be able to plan, implement and evaluate the strategies. In addition to the planning, data science can also help in evaluating the business initiatives implemented after acting upon a decision. A data scientist can benefit the evaluation by identifying and measuring the key parameters that are related to the changes and quantify success. Identification and refining of target The consumer market continuously evolves. Hence, products have to adapt to the scene. Some aspects of market evolution are the change in customer preferences or customer themselves. These market changes are reflected in the big data. Data scientists identify these changes and inform companies about the transformation. Thus, companies can tailor products and services concerning the demand and preferences to suit the customers. Apt talent recruitment Apart from the analysis of the big market data, data science is also capable of suggesting appropriate candidates for a particular job. With the massive amount of information available from various sources, companies are better able to examine the candidates and determine their worth with regards to their capability and needs. This digital era forced companies to collect and look at their data in a different perspective to be competitive in the market. This change in form and medium of data accumulation led to businesses employing people that were capable of understanding these complex set of information and derive sense out of it. Data science is still the new kid around the block, hence, one won’t find many individuals associated with it. That said, data scientist, according to Harvard Business Review, is the sexiest job of the 21st century. And the best part is, there is a growing demand for data scientists, making it a lucrative career option. Now, let’s look at some of the other job titles are associated with the data field. Career options Apart from data scientists, there are three more job titles, namely Data Analyst, Business Intelligence (BI) Developer, and Data Engineer. Data Analyst & Tableau Role In an organization, data analysts deal with querying and processing data, create reports by summarising and visualizing data. They need to have a strong understanding of the tools and methods associated with analyzing and presenting data. However, data analysts do not deal with big data and aren’t expected to provide insight into developing algorithms for problems. Required skills: basic understanding of statistics, data visualization, exploratory data analysis Tools: Microsoft Excel, SPSS, SAS, SAS Miner, SQL, Tableau, Microsoft Access Business Intelligence (BI) Developer While a data analyst compiles reports, BI developers work to understand the stakeholders’ reporting needs and provide corresponding solutions. They are concerned with understanding and creating reporting solutions for businesses based on the requirements. They are responsible for designing, developing and providing support for data centers, dashboards, and analytical reports. Required skills: ETL, developing reports, OLAP, cubes, web intelligence, business objects design Tools: Tableau, dashboard tools, SQL, SSIS and SPSS Modeler. Storytelling with data Data is only helpful if you can understand what it means. It is necessary that you are able to understand data to deduce findings. What I mean is, data is only good at telling what happened. To know what actually caused it, that requires some other expertise. Concerned data personnel rely on storytelling with data to make others understand the cause and effect. Storytelling with data means presenting information through stories. Why stories? Because that’s what we grew up with. Stories add that sense of chronology to events. They create smooth transitions from one event to the other. Any piece of information that’s in the form of a story is much more comprehensible than its standard form. In data analysis context, data tells you the ‘what’ and the story tells you the ‘why.’ While data speak about what happened, stories convey how did that happen. A story helps make you understand the whole scene behind the data. There are three aspects of data storytelling (your core use case for Tableau responsibility): data, narrative and visuals. Data Data comes from various sources about different aspects. Every act generates data. Businesses heavily rely on data for creating and understanding the market. The market acts as the source and also as the end result of data collection. One thing to remember is that data is not capable of doing anything by itself. For it to be effective and contribute, data has to take help of analysis, to provide meaning. Data only presents the facts; it does not explain the reason for it. Narrative A narrative is the use of language in a format that enables easy understanding for the audience. It makes more sense to humans, being associated with the socializing aspect. Socialization is a critical aspect of our existence, and narratives or story form its base. Everything we convey has some story to it. Concerning data, narrative helps data convey its existence in a medium that’s comprehensible to humans. It helps make sense of things the way we understand. A narrative provides a voice to data. Data alone can only stare at you, but when combined with a narrative speaks volumes about why things are the way they are. Visuals Visuals are the graphical medium of presenting information. They are the most effective form of presenting data as they are capable of presenting things while being short and precise. Visuals are capable of showing but not explaining things. What makes for a compelling data story? For any data story to be active at what it says, it needs to incorporate the three elements â€" data, visual and narrative. Data forms the base of the story. It could have various characters, defined by trends and patterns, which help determine the course of the story. Visuals help form conclusions to a scene. They depict a particular scene in a single space. Visuals present data graphically for easy understanding. Narrative combines the elements together. Narratives give voice to data to speak for itself. It helps present data in a way that connects with the audience. Every customer action today results in some form of data generation. The market is large, so it results in the accumulation of massive amounts of data in relation to customer behavior and interaction. Big data is crucial to keeping the digital market ticking, however, they themselves cannot bring out any change in the market. It is the analysis of big data that catalyzes everything. Data science supervises the big data analysis, helping businesses make better decisions, identify trends and set goals while also identifying opportunities and evaluating decisions. Data science and/or Tableau as a tool does do the heavy lifting, figuring out what’s effective and what’s a wastage in commercial terms, but, at the end of the day, data stories connect with businesses and users the most.

Thursday, May 21, 2020

How to Respond to a Counter Offer

How to Respond to a Counter Offer Before you hand in your resignation one of the things that you must be prepared for is what your response will be if your current employer comes to you with a counter offer. After deciding that you want to leave your current place of work, getting through the interview process with a prospective employer and negotiating a better pay and benefits package than the one you are presently on, what do you do if your current employer agrees to match this offer or even better comes back with a more lucrative package? When it comes to counter offers there are a few things that you should consider carefully before accepting or declining. We have put together some useful advice to help you get into the right frame of mind to consider your options carefully before making a final decision. Weigh up the pros and cons: A counter offer is made by a current employer in order to try and keep an employee who has adequate skills and experience within the company by attempting to match or better the offer received from the employee by a prospective employer. Your current employer might be better off in the short term if you stay with them. They won’t have to spend time and money trying to source a new replacement and train new staff up. They will often use a number of tactics to try and persuade you to withdraw your notice. For example moving your annual pay rise forward or suggesting that the opportunities or challenges you are looking for lie within their company. In most cases your employee probably hasn’t already come to you beforehand offering you these perks or benefits and this should be something you think about before making a final decision, as your resignation could impact on you even if you do decide to stay. Whilst working for your current company you may have formed friendships with your work colleagues and when you receive a counter offer it can often be hard to turn it down as you do not want to inconvenience them or the company and depart on a sour note. When you are weighing up the pros and cons of staying or leaving the company you work for, think carefully about what your prospects for the future are if you stay and consider what you already know about the organisation, such as how the company works and how they treat their staff. It is important to remember that moving to another job rarely means that you have to refrain from staying in contact with the people you have formed emotional relationships with. In the long run the most suitable option for you will also more than likely be the most beneficial for your current employer, whether or not this is immediately apparent to them at the time. Why did you want to leave in the first place? It is important when considering a counter offer that you always keep in mind what your reasons were for pursuing a job with another company in the first place. Taking salary aside for a moment the new position could offer: childcare, healthcare or pension schemes flexible working hours freedom to travel on an international basis greater opportunities for development project variety training initiatives Whatever your reasons are for wanting to leave your current employer it is crucial that you remember what they are and think rationally about what is best for you as an individual, before you respond to a counter offer. Coming to a decision: If you do decide to decline a counter offer it is important that you stand by your decision. Be respectful and thank your employer for making the opportunity available to you but also emphasize your decision to resign. You may want to tell your employer the reasons behind your intentions but do not feel like you have to justify your choice to them. At the very least you can say that you have considered both options carefully and have come to a conclusion based on what you feel is best for you in your career. Make it clear that you are not looking for another counter offer and that you hope to depart amicably on a good note. On the other hand, if you do decide to accept the counter offer and remain with your current employer after thinking carefully about both options, it is important to remember that your employer will always remember your attempted resignation and may consider you a fidelity risk in the future. In some cases, employers will use counter offers as a stall device to buy them some time in getting a replacement for your position and even if this isn’t the case you will need to work hard to regain your employer’s trust and faith in you. Likewise, if your employer has only put forward a counter offer because of the threat of you leaving and not because they believe you deserve a pay rise or better working conditions then you may lose faith in them as a fair and equitable company. Author: This post is by  nrl.co.uk.

Sunday, May 17, 2020

Using Technical Resume Writing Services For Your Career

Using Technical Resume Writing Services For Your CareerWhen it comes to hiring professionals in technical resume writing services, you can be sure that you'll be able to get the best out of the resume you wrote. Here are a few pointers to make sure that your experience will be seen in a better light.Technical writing refers to the analysis and description of skills that a job applicant has. It includes not only typing and presentation skills but also skills that relate to the field. One of the most common kinds of this is the writer of a resume. Such resume writers are typically recruiters, who are looking for certain types of applicants.Recruiters or hiring managers may use resume writers to help them weed out applicants they feel are not ideal for the position. For example, they may try to read candidates' resumes to determine their typing skills, which can then be checked to see if they meet the specifications of the position. This means that the resume writer can also do things l ike proofread the document before it's sent off to the company.Some companies hire writers to write down a list of skills, which they want to hire employees with and make sure they are experienced enough to handle those skills. This may be a good approach, but it doesn't mean that the technical resume writing services should only concentrate on the skills or knowledge a candidate has. They should also include a section that describes what that candidate brings to the table as well as why the employer should choose that person over the others.The next step in hiring technical resume writing services is the writing of a cover letter. One of the first things that such companies look for is an easy-to-read cover letter that is functional and clear. Good technical writers know how to take care of these details so that the document is more important and impressive than the plain and boring one it replaces.A good technical resume writing service should design a good cover letter. This mean s that the letter should describe the role and the skills that the applicant can bring to the job. He or she should not just leave that part up to the recruiter. This kind of professional knows how to relay information about the job without relying on that.Next, the technical resume writing services should ask you a few questions that will help them gather more information about your experience. This may be a hard question to answer, but those who have taken their writing classes know how to present their responses. These professionals will have a thorough understanding of the industry and the applicant.Finally, the hiring company will review your technical resume and then try to see if it can be implemented into a job offer. You may need to send it off to a couple of potential employers. Remember that the most important thing in this process is that you were able to get your resume written and presented in a way that convinces the employer that you're a qualified candidate.

Saturday, May 9, 2020

You Cant Knock It Until Youve Tried It

You Cant Knock It Until Youve Tried It Are you listening to that voice in your head. Do you believe the way you think is the way everyone thinks? Are you using your own preferences to filter and determine what youll do?   You may be missing out! Whether you are a job seeker, small business, or just someone trying to stay up with the trends, I want to share something with you. Defending Social Media Frequently I find myself trying to defend, justify or explain Facebook, Twitter, and/or Google+. It isnt always easy. In fact, sometimes I have to give up trying to be a cheerleader for social media/networking.   But this is what I know. If you havent tried it, whatever that platform is (Facebook, Twitter, etc.) you have little basis to make judgement (in my opinion).   By trying it, I mean really working it.   Youve heard the analogies before. You cant just buy a treadmill, bike, weights, or piece of workout equipment and expect it will build muscle and trim away fat. You have to regularly use it. Social networks are no different. FacebookI dont Get It With about 850,ooo users, Facebook it where it is happening. Well, thats what they say. I love it for keeping in touch with my friends and family, but Ill be honest. I havent -figured out how to use it for my business. As a result, I dont put much effort into it. I let my blog posts auto-populate and kind of sit back. So when my weekly email came from Facebook and this is what I saw, my first reaction was See, nothings happening! Only one (1) new like this entire week! But this is because I am not working it. I am not active. I dont have a plan and Facebook is not my main focus. It barely gets much of my attention at all. Twitter is Where Its At By contrast, Twitter is my tool of preference. I love the people I interact withmy peeps! And the numbers reflect that. (Psst. Crowdbooster is a pretty neat tool, but it is no longer free) Lists You Should Know About Now, for a little horn tooting, if you dont mind! Ive been recognized by some super bloggers I respect and most recently by Rich DeMateo of Corn on the Job, Top 25 Twitter Accounts for Job Seekers to Follow. This is huge for me. It means a lot and is kind of like a trophy for the effort I put into Twitter (and my blog)! These are some of the other lists Ive made! YouTerns Top 50 Blogs for Young Careerists The Daily Muses 15 Career Experts Not To Miss on Twitter Job-Hunt.orgs The 101 Top Twitter Job Search and Career Experts (plus 6) CareerRocketeers Rocket List Heather Huhmans 27 Recommended Blogs for Entry-Level Job Seekers CareerBlisss 10 Internship Experts to Follow on Twitter Monster.coms Career Experts Who Can Help Your Job Search Answer These Questions So you can say Twitter is stupid. Or Facebook is a waste of time, but it all depends on the effort you are putting into it. What are you knocking? What arent you doing or trying that may just be your next great opportunity? What are your goals? What is your purpose? How will you know you are being successful/having an impact? The answers arent always monetary, but they should all be measurable! This is absolutely true for job seekers and businesses alike!

Friday, May 8, 2020

Scared in your job search - Hallie Crawford

Scared in your job search Happy Halloween! Are you scared in your job search? Are you ready to take the risks needed? Are you ready to overcome your individual  obstacles? I met with a former career coaching client for coffee yesterday. We worked together last year and she is now in a job she loves! She is very risk averse (she said so herself) but she didnt let her fear stand in the way of transitioning into a smaller law firm out of her corporate in house counsel job at a large bank here in Atlanta. She said it wasnt as hard to let go of the paycheck as I thought. What can you do to address the fears in your job search? Here are some steps to help you get started: Identify what your fears are. Take a minute to write down the three biggest fears you have about making a career change Analyze these fears. Are they accurate? Realistic? Are you blowing things out of proportion? Do this three step process with each fear: Where did this fear come from? Is it true? What can you do to address it? Take action. Identify the steps that you can take to observe these fears, rather than be their victim. Is it an affirmation? Positive thinking? Do you need to do something specific, like take a class to address the I dont have experience fear?. You need to bring the fear outside of you so that you can see it and do something about it. Dont let it run the show inside of your head. “Most of our obstacles would melt away if, instead of cowering before them, we should make up our minds to walk boldly through them.” ~Orison Swett Marden Atlanta Career Coach P.S. Are you frustrated with your job search? Check out our  FREE REPORT:  â€Take Control of Your Career Transition: Uncover Hidden Opportunities”.