Analytics Journey

Every day, more enterprises are realizing how important it is to compete on real data analytics. A lot are realizing they have a long way to go. Here’s a quick way to see where your enterprise is on the Data Analytics Maturity Curve. Obviously, the higher your level of adoption, the better.

Early stage

At this stage, only few identified or designated users have enjoyed some limited success. Typically, they are analysts who want to understand the big picture, and have little contact with the day-to-day operations of the business. They rely mostly on monthly reports; so whatever insights they gain are 30 days in arrears.

Limited power users by functions and levels with some database structure
Dependent on IT, No BI roadmap with an Emphasis on monthly reports & MIS

Management by anecdote with Spreadsheet Anarchy
Legacy reporting and MIS environments

Tool evaluation, business case, emerging technology

The Result: Little insight into what happened.

Emerging stage

At this level, the real benefits of analytics start to emerge. The CXO Levels begin to realize that having certain metrics could help them improve outcomes. The data they work with, however, limits them to mostly lagging indicators, and possibly a few leading indicators. Instead of outdated reports, managers receive actionable insights that help them make more effective tactical and strategic decisions.

Set of technologies & tools that are under leveraged and not been able to reap the benefits of investments
Selected users, Specific metrics and only few functions getting value outputs

Mostly lagging indicators, a few leading indicators, some advanced KPIs
Enterprise data/information Strategy, Roadmap & migration planning

Enhance & mature analytics practice through optimum utilization of current environment.

The Result:Users have some tactical understanding of what happened and why.

Mature Stage

When analytics reach this stage in an enterprise, they are no longer a curiosity, a pilot program. They are an integral part of the business process, from the cubicle to the corner office. Each user is presented with fresh insights every day that have been configured to optimize their individual performance. Top management gets a deeper view of important trends. Staff members get intelligent work listing that helps them evolve from knowledge workers to decision workers. At this level, the enterprise is definitely competing on analytics.

Business users, Report findings up to C-suite and enterprise-wide usage begins
KPIs broadened to include strategic focus areas and ROI of analytics becomes clear

Mature analytics practices with set of executive dashboards, business insights and scenarios for better decision making
Empowering business by developing in-house rapid deployment products & accelerators with DIY / ease of configurations without major IT involvement

The Result: What is happening tactically and strategically? All users understand in current time.

Market Leader stage

When an enterprise reaches the stage of maturity, it doesn’t stop there. As ROI compounds, the number of users, use cases, and new apps continues to accelerate. When analytics are based on data that is continually uploaded, transformed, and refined, natural feedback mechanisms lead to solutions that match the goals of the enterprise – and the needs of the users – even more closely.

Market leader with need for constantly being ahead for competitive advantage
Insights pushed throughout entire enterprise

Quantitative and qualitative metrics with simple, accessible user experience
Embedded analytics with actionable worklists improve outcomes

Continuous self-updating predictions driven by learning algorithms
Partner for co-innovation, co-creation of IP and solutions for futuristic market & customer scenarios with emerging technologies

The Result: Are actions improving? Are forecasts changing? What are the new predictions? All users get personalized answers by role.
December 6, 2016

Strategic Forecasting

Plan for the next year using the previous year’s numbers, deep dive into your previous sales, pricing and costs, and predicts what’s likely to happen next
December 6, 2016

Portfolio Management

Enables you to streamline and integrate financial planning and budgeting processes, improve visibility and predictability of Costs Vs Profitability and business outcomes
December 6, 2016

Social Media Analytics

Predict your customer’s future buying behaviors and leverage on the opportunities to enhance customer experience