With every passing day we hear Data being a crucial element for Business to make meaningful and Insightful decisions. Every company needs to have a Strategy to derive meaningful inferences from Data and Act based on it .Its very important to focus first on Data Quality
Organizations of huge scale can hold data in different systems and different formats which can be a huge challenge to a lot of customers.You can build intelligent platforms or use Cloud platforms to do Machine Learning and have a positive impact.This can all work provided the Data layer is Supreme and Qualitative . Whats the Data Quality ?
How do you Measure Data Quality ??
Data Quality can be measured in the following core principles
There are different ways in which you can map your data in to the above four parameters and get a good idea of how good your Data looks like
There are different ways you can analyze your data and that totally depends on the business case
In this we gather , combine , clean and Organize data. You can run different statistical approach on this data sets
This type of Analytics helps us to understand the behaviour at any given point of time.This will tell you exactly why a certain event occurred and you can learn from past data
This helps us understand why and when a event occurred. You can use different statistical methods like ANOVA , Hypothesis test
As the name suggests this helps us in predicting the behaviour or outcome based on past data. Regression Analysis are useful for Predictive Analytics.
Good quality Data coupled with strong Analytical skills can form the backbone for Digital Success as they provide insights that help in key decisions
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