Big Data Preparation: The Key to Unlocking Value from Your Data

Making a success of big data analytics is a bit like constructing a skyscraper. Foundations need to be laid and the land prepared for construction, or else the building will rest on shaky ground.The success of any analytics project depends on the quality and relevance of the data it’s built upon. The issue today is that companies collect an exponentially large volume and variety of information in many different formats and are struggling to convert it all into useable insight. In short, they're having trouble preparing their big data and unlocking the value.

Difficulties with Big Data Preparation

For instance, before analysis, a business may need to aggregate data from diverse sources, remove, or complete empty data fields, de-duplicate data, or transform data into a consistent format.

These tasks have traditionally relied on the expertise of the IT department – even as ownership of analytics projects has shifted towards line of business leaders. But as volumes of data grow, preparing data in these ways becomes more laborious. With this mounting demand, IT teams can take weeks to fulfill requests.

Businesses have recognized this and are investing in data preparation technologies. Two thirds say they have implemented a data preparation or wrangling solution to manage a growing volume of data, and 56% have done so to help them work with multiple data sources,

Today’s data preparation tools aren’t restricted to those with IT expertise and they allow companies to spread their analytics processes to individual lines of business. Not only does this dislodge their data bottleneck, but analyses are managed by subject matter experts with a keen eye for the most valuable insights.

From data scientists and analysts, who work closely with company data each day, to business leaders exploring new ways to improve the way they work, Oracle has a set of rich integrated solutions for everybody in your organization.

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