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The five rules for data discovery

Joshua Koh, General Manager for Endeca at Oracle Asia Pacific | Oct. 24, 2014
‘Enterprise Data Discovery’ emerges as the natural complement to existing business intelligence practices that offer analytic agility.

In the quest for the cause of that sales spike, your business users want to search through all that diverse data just as they would on the Web without needing any training.

Full-featured search, guided navigation, and powerful visual analytics built together from the ground up are the critical toolkits for data discovery. When a company is looking for deeper insight to enhance its competitive edge, there's always the risk of going down a blind alley. Therefore, companies need to have everything for exploration to help stay on course.

4.    Have a Dialogue with Your Data

You also discovered that the spike in sales occurred in the middle of the media campaign and during the time of the spike, there was a major sporting event. This new clue prompts a new question - what could a sporting event have to do with the spike? Again, the data reveals its value by providing a new answer - one of the advertisements from the campaign got additional play at the event. Now, you have something solid to work on.

Traditional analytics are based on established questions that take you on a well-travelled path through your operations. However, with self-service discovery capabilities, data can give business users the speed, flexibility and agility to follow the road less travelled. It allows them to continue the dialogue and get the answers whenever they need as the data discovery platform has had information indexed.

5.    Enrich Diverse Data and Keep on Discovering

Towards the end of the sales spike analysis journey, do you really know if advertisements contributed to the spike in revenue? Traditional analytics don't typically include qualitative information such as hidden critical connections, which reveal what people really think and what is driving their behavior. However, that's often key to the root causes that explain the sales spike. For example, posts in social media show that the crowd at the sporting event loved the advertisements, which drove a viral reaction across the region.

Enterprise data discovery can also give business users the power to get the most out of raw text by enriching text to unlock hidden insights in unstructured content. Combining text enrichment with enterprise-class sentiment offers enterprises a comprehensive view of business to make truly informed decisions.

Today, enterprises face the challenge of managing the overwhelmingly rich amount of information that is all potentially relevant to decision making. For IT departments, they are under massive pressure to manage costs while still staying responsive to the business.

Built upon the five rules, 'Enterprise Data Discovery' is a comprehensive solution that offers enterprises fast, intuitive access to both traditional analytic data and non-traditional data, including external and unstructured information. Enterprises should consider leveraging 'Enterprise Data Discovery' as part of their analytics strategy to realise significant benefits with innovation and confidence.  

 

 

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