Stratedge Products
Products Frameworks
StratEdge works on a holistic approach to Big Data solutions. What we do is enable the enterprise to identify, capture, mine the inputs, index and analyze large sets of data for the management to understand, and leverage, various aspects of its business operations, customer preferences, business intelligence and analytics.
Our domain experts first identity the business problem or business optimization that requires a solution. Then we assist the client in identifying the relevant technology, built around our in-house frameworks, tools and solutions that combine business data with the market insight and spatial processing needed by the management.
- StratEdge “Implicit Insights” Analytics Framework
- ‘Second Opinion’ Big Data Analytics for Strategic Decision Support
- ‘Actionable Dashboard’ Framework for Big Data – From Data to Discovery
- StratEdge ‘CRM” Analytics
Success of any business in future will critically depend upon how well it manages the convergence between Management, Information and Algorithms. Big Data solutions sit right on the crossroads of such a convergence, and hence is a crucial piece for achieving a competitive edge
The availability of Big Data technologies to analyze massive ‘peta-bytes’ of data has opened up an opportunity for business analysts to look for insights in "dark data" - those stored data sets archived but not analyzed till now. User logged in information sources - from Websites, ERP’s, e-Mails, Content Management systems, etc. are now being data-mined to unearth business insights into patterns of user behaviors.
Geoffery Moore, the author of "Crossing the Chasm", calls this shift of emphasis of analytics, from transactional data to behavioral data, as the IT phase transition from "systems of record" to "systems of engagement".
At Stratedge, we call it "Implicit Data Analytics" and have designed an overarching framework - the StratEdge Data Analytics Framework for Implicit Data - as a collection of Big Data Best Practices that helps an enterprise quickly design and implement its own customized Insight Engine, to leverage the implicit data embedded within its disparate business datasets, and harvest unique insights for that competitive business edge.
The revolutionary change which Big Data technologies have brought about is in Big Data tools to analyze extremely large datasets that help generate analytic results to augment the intuition of the business leaders and key decision makers of any enterprise.
Unfortunately, most shrink wrapped Big Data App suites come with pre-configured metrics offering standardized, hence non-unique, analytic insights while mining an enterprise’s existing datasets. However, these same datasets can present a UNIQUELY DIFFERENT perspective just by changing the underlying paradigms for querying and analyzing the same.
StratEdge’s Second Opinion Analytics Framework is a toolset that enables enterprises to quickly, and cost-effectively, build a customized ‘second opinion’ analytics application to provide an uniquely different approach to access, analyze and validate business insights using existing datasets. Our frameworks help to design solutions taking inputs of internal business leaders who are well-aware of the limitations of off-the-shelf packages offering standardized metrics and analytics.
We offer cost-effective frameworks and consulting services for enterprises to custom build these second-opinion big-data analytics solutions that COMPLEMENTS AND AUGMENTS their primary analytical systems.
In today’s competitive business environment, User Experience (UX) concepts help an enterprise gain that extra strategic marketing edge. These UX concepts are also transforming the data analytics and business intelligence domains on visual plane.
Google is the "King of Search" because of its Peta-Byte Analytics capability and use of underlying technologies like Big-Table, Map-Reduce, etc. Pinterest has become the "King of Discovery" because of its rich visual presentation framework.
If the business potential of Big Table technologies lie in its capability to augment data-driven, collaborative decision making, then visualization techniques that help analysts/leaders make sense of the complex relationships underlying big data-sets is even more mission critical. Although visualization is hardly the most technologically challenging part of the data-analysis puzzle, it is arguably the most important.
Actionable Dashboard Framework offers a completely new paradigm - how to create IT tools/solutions to facilitate faster decision making rather than asking how to present the mined results from any Big Data analysis.
StratEdge’s Actionable Dashboard Framework is a solution based on the new paradigm, that brings together ideas from Big Data Analytics, User-Experience Design alongside Visual Thinking Paradigms, to create flexible, highly customized business solutions. The data planners can pull, overlay and analyze any combination of enterprise data, industry content, and location intelligence in a single dashboard.
The building blocks of Big Data have rapidly evolved over the last decade. First, it was the ERP that told a business WHAT, and how well, it was selling. This was followed by CRM that addressed WHOM it was selling to. Next was the WEB (internet) that allowed customers to RESPOND to a business. Now it is Big Data that TELLS a business what the whole world wants to tell it.
Outsider of the Financial Sector industry, Sales and Marketing domain is the biggest adaptor of Big Data technologies. Big Data technologies are playing a key role in not only analyzing structured data like sales transactions, but also in gaining insights into customer behavioral analysis and prospective buying intention analysis from semi-structured social-media data.
While there are many off-the-shelf products that analyze data separately, i.e Sales Analysis alone, or social media data, the need of the hour for any enterprise is a solution which combines the insights from each of the data silos separately to generate a big-picture of the customers and their behavior.
Big Data in an enterprise CRM context generally means ‘Customer Intentional Data’ coming in five flavors - Transactional, Search, Web-logs, Social and E-Mail.
StratEdge Big Data Framework for CRM Analytics relies on integrated data-modeling techniques to build a single ‘Customer Intention Model’ that combines data from both structured transactional sources, as also generic social media data, to generate actionable business insights and marketing strategies.
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