Decentralizing analytics, pushing it from the center to the corner of the analytics wheel. Today we are going to discuss why and how decentralization is seeping into the analytics world.
Once analytics used to be the exclusive domain of it, people and data scientists, but now as the analytics wheel is gradually turning, a fundamental shift is being increasingly visible. IT is being pushed from the center to the corner of the analytics wheel.
First, let’s see those forces that are driving this shift.
What is driving consumerization of analytics.
Need for greater adoption. Business users are no more satisfied with complex IT authored reports. They want something that is easily digested and has real value. This paves the way for an open data regime where BI and analytics are accessible to a broader spectrum of employees.
Need for analytics immediacy. Today, businesses are more vulnerable to sudden market changes and need to respond immediately when anything new happens. This or urges business users to rely on tools that can provide actionable insights in real time.
Need to go deeper. The rise of self service Analytics has empowered business users to make data ready for analysis in a governed and reusable manner. This has created the opportunity for data specialists to explore data in more detail, as they are now free from answering the regular queries.
Analytics is becoming a necessity. Implementing analytics tools is no longer a choice, it is simply an imperative. From retail tracking to operational process optimization to sentiment analysis, use cases of BI and analytics are numerous.
Now we will delve into the factors contributing to the mass usage of analytics. What factors are enabling mass usage of analytics.
Advanced data visualization tools. With the help of tools that use advanced graphical modelling, business users can visualize Data in action quickly.
Cloud platforms. On premise architecture is losing ground data has a new address in the cloud. A cloud based platform is capable of supporting greater flexibility and can lessen the cost.
Mobile BI. In recent years, the mobile BI and analytics segment has made amazing progress. As more business users want to take analytics capabilities with them no matter where they are, mobile solutions will continue to gather steam.
Popularity of embedded BI. Modern BI and analytic solutions are easy to deploy on top of existing infrastructure, so business users can experience a frictionless transition.
We have thus explored the various forces behind the consumerization of analytics and factors that enable mass usage of analytics. But what actually do business users the people at the center of this shift expect from analytics? What do business users need? Simplicity, they are not hardcore analytics devotees. They want speedy and simple answers to their questions. Tools that just work out of the box are what they look for. Relevance, as they take business decisions, relevant insights are important to them. If installed analytics platforms don’t give contextual and relevant answers, they are practically of no use independence, they want to leverage the power of analytics without the active intervention of an IT expert. This helps them to use smart data discovery capabilities at their own pace. Accessibility. Ease of Access is a big factor for users. tools that provide mobile and cloud integration serve this purpose. Well, though decentralization is fueling the spread of analytics throughout the enterprise. maintaining balance is the key. firms should not consider the current disruption that has brought about decentralization of analytics as a tussle between the business side and the IT side. Even on this changed landscape, they are complementary to each other, anything otherwise we’ll rock data governance to its foundations.
