Data, big and small, goes through a process or life-cycle called the Data Science Process, and is as relevant today as it was hundreds of years ago.
The first step along the data science process, is getting EASY access to data, big and small, to drive the best business decisions. And we would assert that’s not just about IT’s access to data – it’s also very much about empowering end-users.
The second step is making it easier for the people closest to YOUR business to create a theory, model that theory, refine it and reveal those invaluable business insights. This involves engaging more people through powerful tools that they’re familiar with – so there’s no learning curve. It comes down to just users and data, and if you can unlock this, you get to that magical point where insights are revealed.
The third and final step is creating repeatable business processes that deliver insights automatically by deploying your “data science process” across a complete data platform. It can’t just be about storing relational data, and it can’t just be about storing unstructured data in a Hadoop cluster. It really does have to be about thinking about a more complete solution. You want that ROI on your data, and by operationalizing your data science process, you’re going to see those returns.
To help you better understand the impact of the Data Science Process and its effect on big data, Microsoft has recorded an exclusive webcast briefing, “Faster Business Insights For All” produced in association with CIO Magazine. Microsoft is investing across all stages of the data science process / lifecycle.
In this moderated discussion, featuring Jim Mallon, Executive Digital Director of Enterprise Solutions Group at IDG and Eron Kelly, General Manager of SQL Server Marketing at Microsoft, you’ll hear about the Data Science process that underlies everyone’s quest for insight from data, and how an integrated data platform is key to success.
Click here to view this webcast on big data!
Blog Post by Farai