How well do you know your Business Metrics? Or KPIs? and how they behave when viewed from your key dimensions? How sure are you about the accuracy of your reports? And the quality of your data? How quickly and accurately are you able to do real-time and historic Year-over-year analysis?
If you took some time to think on these questions,
How well do you know your Business Metrics? Or KPIs? and how they behave when viewed from your key dimensions? How sure are you about the accuracy of your reports? And the quality of your data? How quickly and accurately are you able to do real-time and historic Year-over-year analysis?
If you took some time to think on these questions, you might need help in understanding where your company is in its data maturity in terms of maximizing the insights you can gain from your data and decisions made based on timely and accurate information.
Traditional Data Warehousing still has a lot of value in the market place. Unless you isolate key business data into a centralized data repository (a Data Warehouse), you still run the risk of choking your operational / transactional data and tremendously slowing down your key business applications.
Traditional Data Warehousing still has a lot of value in the market place. Unless you isolate key business data into a centralized data repository (a Data Warehouse), you still run the risk of choking your operational / transactional data and tremendously slowing down your key business applications.
Indications a Data Warehouse is Needed:
There is a better way to do things.
Its the world of Analysis Cubes (Tabular and Multi-Dimensional), a sure way to analyze data that has been cleansed, stored in a format that not only accelerates analysis, but maintains single version of truth for your key metrics. Analysis cubes can scale with your enterprise as the data continues to accumulate. We can educate your company on the benefits of Data Warehousing. We've been successful at helping companies realize the potential of their data through Data Warehousing, Analysis Cubes, and sleek Dashboard- Reporting platforms, giving them an enterprise wide-view of critical business metrics that drive business decisions. We are technology agnostic but most implementations have been Microsoft based technologies. And yes, both cloud and on-premise data solutions.
Really, its all Data Science now. Data scientists were always there but not many people knew they existed. The world has changed with the inception of Social media and Big Data. The definition of data has changed. Every other company is now realizing the importance of data science and these special people called Data Scientists. Back in t
Really, its all Data Science now. Data scientists were always there but not many people knew they existed. The world has changed with the inception of Social media and Big Data. The definition of data has changed. Every other company is now realizing the importance of data science and these special people called Data Scientists. Back in the day, only big corporations could afford certain software to be able to do any Predictive Modeling or true analytics. Now, with the introduction of Machine Learning tools and languages like "R", "Python" etc., the tremendous potential of exploring and building models to do amazing predictions based on your data is now available to the average information worker.
We are equipped to deliver these solutions and customize them to your specific needs.
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