The main premise of enterprise analytics is to leverage information to gain insight and ultimately drive the right actions. This can in turn lead to greater success in business, better competitive results, increased customer loyalty, higher profits and greater market share.
However, few enterprises today have become overachievers in the analytics field. Despite the wealth of information, abundant tools and increasing computing power, many still face challenges in their attempts to achieve relevant business insights via analytics. For instance, traditional IT platforms that were painstakingly standardised across the enterprise have now become the very bottleneck inhibiting information analysis.
'Enterprise Data Discovery' emerges as the natural complement to existing business intelligence practices that offer analytic agility. It simplifies access to wildly diverse information, making it convenient to run business analytics regardless of the type of data.
Today, enterprises require fast, easy, and intuitive access to data to perform analysis for both business and IT decisions. 'Enterprise Data Discovery' allows them to move beyond the current stalemate to be more agile and confident in the results of their analysis, without abandoning current analytics platforms and infrastructure.
Following are the five core rules for 'Enterprise Data Discovery':
1. Govern Self-Service for Results Without Risk
Take for example a company experiencing a sales spike in a particular region in a certain month. How can you find out why and then replicate the successful sales model? You have a hunch that this could be due to a recent media campaign. To ascertain it, the company requires combined sales data - not just the report, but the actual raw numbers resulting from the media campaign. How do you quickly combine sales data with these results?
Governed self-service discovery capability provides quick and easy access to diverse data sets from the IT department, within, and outside the organisation. As such, business users are empowered to upload and combine data on their own, with the confidence of getting good results.
2. Blend Diverse Data for Deeper Insights
What if the combination of various sales data and media campaign results still doesn't quite get you there? Additionally, your business users are suggesting using social feedback to acquire more information about the campaign.
With governed self-service data discovery platform, enterprises can easily access a wide array of data, including unstructured and text-heavy information that are often not included in today's analytic environments. It also means business users can quickly blend and mix current data with new information of any type across blog posts, customer reviews, survey text, tweets, call logs and more, to retrieve a new view of what's driving the business.
3. Equip yourself with Integrated Search Navigation and Analytics
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