Praveen David Jacob Data, data analytics, Data Cleaning, data engineer, data science, Learn

Data Analytics Golden Rules

It may not be rocket science to interpret Data with your analytics, as everyone have their own way of understanding or reading Data and it all depends on how well have you understood the information provided. There can be many conclusions to a piece of Data, as there are many tools available today to read these information for you and provide you insights about what Data means. But the key idea behind understanding your Data is not just to interpret the information rather provide meaningful information which makes sense. This clarity to information and understanding the depth of productivity or impacts must be the strategy towards understanding your Data.

The 3 golden rules to keep in mind while understanding Data or developing Data Analysis must be based on these principles :

Make it Simple above everything and let your data not make too much noise rather provide meaningful clarity.

Don’t crowd your insights with lots of graphical representations and make it look like a crowded Data market place rather create a narrative story.

Always understand what are you trying to communicate with Data or what type of Data and finally to whom.

Following the above 3 Golden rules, must make your Data more impactful and meaningful and guide you or drive your business towards better decision making.

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Praveen David Jacob analytics, dashboards, Data, data analytics, Data Cleaning, data engineer, data science, ERP, Learn, Oracle, Oracle Database, Oracle ERP, Oracle Lab, powerBI, python, Reports, tableau

Data Cleansing

The real data that needs to be presented needs to be managed and formatted to the desired shape and size to make meaningful information for data that goes to be presented. Data cleansing is one of major task before you prepare your data sheets for financial analysis or summary reports about your project or data audit. Data cleansing has changed to be a major transformational job for data analysis. During this transformation you basically decide the category or type of data whether it may be a text or number. Some of the major benefits of Data Cleansing.

  • It removes major errors and inconsistencies that are inevitable when multiple sources of data are being pulled into one dataset.
  • Using tools to clean up data will make everyone on your team more efficient as you’ll be able to quickly get what you need from the data available to you.
  • Fewer errors means happier customers and fewer frustrated employees.
  • It allows you to map different data functions, and better understand what your data is intended to do, and learn where it is coming from.
Praveen David Jacob Data, data analytics, data engineer, data science, Digital, discovery, Oracle Learning, powerBI

Truth About Data

The importance of facts and how real are your facts will only determine the integrity of information you hold responsible is true or not. Any information that is changed from it’s original source is not considered anymore true because you never know to what extend has this piece of data changed or how much it has changed compared from it’s original source. Once you have decided to modify data to meet your criteria that’s when you have start to actually manipulate data.

Keeping Data in it’s original format or the way it was been created will be the best practice to keep up your information integrity. We almost try to change the data from the way it’s been created only because to meet your needs but at the same time we should also practice to put back the information in it’s original place or format so that the people who try to discover information will know the facts about data and it’s origin. In Data discovery integrity of information is the epitome of fact discovery else it is just a new version with a new owner. Today a lot of time is invested for data mining but it is also important that we mine information from it’s original source.

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Bring Life To Data

Data staying at it’s source or data which is at rest has no meaning or it’s of no use to anyone if you haven’t extracted data out and breathe life into. Once you have presented your data that’s only when you will realize it’s true value or will ever know it’s worth of information. It’s always important to know how much data you own and also be aware how critical is your information based on your data slicing, you could plan ahead with your work or business only when you have completely understood data in a meaningful manner. The importance of data science in today’s world will help you realize the data you own today is how much critical.

The only way to find out your data’s worth or know it’s details, is when you will need to bring data to life. Bringing data to life is all about presenting data in a meaningful manner and helping the people who created data be aware how much income has been generated or lost by scaling through the different elements of data in a very user friendly way and this will help you find the purpose of your Data. Planning ahead for your work or business is very crucial and to follow a strategy, you will need to understand first your Data. Understand data through www.learnmystuff.com where we care a lot about Data.

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Power Up Data

Learn to create the most interactive reports and dashboards with the most powerful tools in Business Intelligence reporting where you can learn to present your data and valuable information in meaning full with decision making insights. Data analysis can help to better understand your customers, products or services and help you choose to make timely decisions. Once you have understood your audience well then comes the need to market them in a timely fashion so that you can actually reap the benefits for time spend on marketing your services. Having a central location for all your data makes life easy for all your service team and you to be on the same page.

Signup here https://learnmystuff.com/contact/ to get learning with Tableau or Power BI the powerful tools in Data Engineering and Data Science.