In the not so recent past, business analytics was a small back-office domain inside many organizations. Data management and governance was not a complicated affair with very few professional analyst hands actually touching the data. These analysts knew that mining and ad hoc data analytics were time consuming and always posed a potential compliance or security risk. Therefore, analytics projects and capabilities were naturally self limiting.
Today, the volume of data within an average enterprise business has grown exponentially. With this growth in data has come a growing importance in using data to drive many business decisions big or small. Data has been democratized to handle these new requirement. Today, hundreds or even thousands of people within an organization may have access to data sets.
Businesses need to adjust to this new reality in two ways: the first is to accommodate widespread access to data from an IT bandwidth perspective and the second is to ensure the proper governance of that data, from quality control to access controls and compliance. Today, both these goals are not only achievable but better served via cloud data analytics capabilities. Here are a few things enterprises need to do to build confidence -- from the end user to the C-Suite - for a widespread cloud data analytics deployment:
Rolling out broad self-service analytic capabilities requires a strict adherence to established data governance policies
Make sure that data is consistent, clean, and up to date
Confirm all users understand the data’s lineage and intended purpose
Avoid storing duplicate copies of data
Verify everybody (or every permissions level) accesses the same data in the same way
Make sure your cloud data platform separates storage from compute to guarantee high concurrency
Snowflake for Cloud Data Analytics
Effective data management and data governance are key for successful technology companies. Bogged down by outdated solutions, many enterprises are unable to fully leverage their data to power their business.
With Snowflake’s platform, companies are breaking down data silos, so their teams spend less time managing infrastructure and more time transforming data into insights. They’re launching new innovative products, and getting more value from virtually all of their data, while complying with privacy and security regulations.