No problems or hardships in this world stays for long, when you have the mind to resolve and the will to make things simplified. This is the biggest challenge humanity is faced today, when we are all born in a free world but living has been made complicated so only the brightest of minds has a place to survive. Learning new things to adapt to the fast changing environment has also become a necessity today and the only way to catch up is by making things simple to adapt easily so that you do not get exhausted or frustrated during the process. When things get complex, people resist to use or learn it. Rather when it made to look or sound sound simple, people feel relaxed also wish to have it in their daily life’s. Only by making things simple there can be a way to resolve any crises that we are faced with today. Simplicity is the new way forward in adapting to the new world order.
IT Was Made By Me
Searching for the truth is the ultimatum for all systems around the globe. Data doesn’t lie is the first truth that people have been resonating in their minds for years and staying away from believing in humanity is the end result or the end agenda. Over dependency on systems and data in finding the truth could lead to people loosing faith upon each other and that could only ultimately lead to humans making more and more sophisticated systems to compete for the truth and to lookup rather than asking your best friend or loved ones. Data is the truth that doesn’t change is what everyone has learned in many years to believe but at the same time it’s possible to change data or be manipulated not by common man but by it’s owners who created them is the other side of the grass reality.
When you have become the owners of such gigantic information systems and you finally become to know them so well, those systems could become the mother of all information regardless of what you feed on them whether it may be for the good or the bad. When those systems become centralized or intelligent enough, they becomes the single point of truth for the entire humanity. People who maybe new for you or your system may end up first searching the mother of all information system in knowing the truth without knowing the fact that IT Was Made By Me.
Seamless Data Integrator
Data Integration has been the key priority among many companies during transformation or scaling of their business activity and because of that integration or integrating Data between systems was a must without which there wasn’t a legacy being continued. Moving Data from one system to the other or migration of their legacy systems to the new system was always a challenge when it comes to communicating between two different platforms or different tech brands. At times when data was transported from one system to the other, Data was sometimes received in excel files or text files and because of which, Data could be manipulated, mismanaged or even lost when moving from one system to the other.
This is where a role of a Data Integrator comes into play where information or Data need not be kept in flat files whereas the Data Integrator can help to establish a seamless connection between your legacy and the new system to help you with Data Integration or Data Transformation jobs. Pentaho is one of the best leads in Data Transformation or Data Integration where those activities are automated with less human intervention. It comes with built in adapters to help you establish connection between multiple systems whether it may be Oracle, Microsoft, Postgres, Mongo…etc. It also doesn’t matter if Data might be present on-premise or cloud, no matter where your Data sits, Pentaho will be a seamless Data Integration to help you transform your Data at a speed never imagined.
Every Data Transformation or Data Integration job must have a workflow maintained to keep a track of the data movement happening during this process. So that at any moment in time when there is a gap or bad data, it must be able to identify those gaps and rectify. This is also where Pentaho will help you to keep track of the Data Integration activity using workflows to help you stop and be informed to improve your Data Integration job by cleaning off bad data.
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.
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.
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