The changing face of business intelligence
During this primary season, US presidential predictions have gone into a tizzy. Elections today are all about data, analytics and insights. Presidential candidates rely on data mining to find and analyze information about voters. What’s changed in this election is the sheer amount of data. Thanks to the pervasiveness of social media and advanced online voter-tracking methods, campaigns are able to gather more data about voters than ever before.
Now, imagine analyzing all this data on the voting population—weaving in social media information, historical preferences, and psychographic and sociographic data into material that gives a far richer picture. I vote for that!
Ditto with most progressive organizations today, as they transition to easy-to-use, fast, agile and trusted modern business intelligence and analytics platforms to create business value by getting deeper insights from diverse data sources.
So, what does this transition entail? We have broken them down into four main areas:
1. Enhanced capabilities
There is an emphasis on tools for powerful authoring capabilities, intent-driven, guided experiences and cloud deployments.
2. Smarter self-service
Dan Vesset, IDC’s Group Vice President for Analytics and Information Management, projects that spending on self-service visual discovery and data preparation tools will grow 2.5 times faster in 2016 than traditional IT-controlled tools. Line-of-business users today seek agility and independence to access data, author their own content and gain deeper insights to support better decisions. This also frees up IT space from day-to-day business intelligence requests to focus on the bigger picture.
3. Secure and confident
While self-service enables business users to access data to create and share their own reports, it can complicate data governance. Data security and governance at every level is critical as organizations seek tight controls to govern who has access to what.
4. Amplify and act
For quicker and more effective decisions, organizations need company-wide alignment to “one version of the truth” that is based on silo-free reporting and performance metrics. When all roles and levels of technical expertise engage on the same platform, have access to the same robust capabilities and utilize the same tools, they will increase their organization’s collective intelligence.
Over the next few weeks, we will bring you a series of blogs and videos that highlight the four main areas of the shift to pervasive, business-led, self-service analytics as we take a look at the new release of Cognos Analytics. Subject matter experts from the product development and marketing teams will showcase the wide range of new capabilities that Cognos Analytics brings. Read the first blog today.