We designed The Indium Questionnaire to answer common questions faced by clients we serve in our Digital Services division.
We thought a Q & A format will deliver a structured approach to answering key questions faced by digital transformation leaders.
For this post on Data Landscape Modernization we answer the following questions:
A study by Mckinsey Analytics conducted in 2019 reported that only 15% of the organizations (that use Big Data Analytics for Decision Making) derive desired value from their data. Yes, there is an explosion of real-time data in most organizations. But, they are not able to derive value from this. Why?
The challenge often is that most data is located in silos. There is customer data silo, financial data, operational data, supply chain data – the list is endless. Yet, companies haven’t invested enough in designing an Information Architecture that is modern.
Data Landscape Modernization refers to designing an Information Architecture that enables or catalyzes the process of deriving maximum value from Big Data. It is truly the first step to make your enterprise ‘Analytics Ready’.
Not at all. It entirely depends on the nature of your business and the current state of your data ecosystem. But broadly traditional data warehouses are exploding with data. The cost of data management is going up, while the ability to gather insights from real-time data has not been utilized to the fullest.
The key goals most enterprises are setting for themselves are around three key parameters:
Indium Software, we’ve deep expertise and experience in a range of Big Data & Advanced Analytics Services. We’ve also deeply analyzed the latest tools and technologies in the Big Data ecosystem, helping our clients pick the right combination of tools to build their Big Data ecosystem.
Building a modern Data Landscape is the foundation of any Big Data & Advanced Analytics project.
Our services start with Architecture & Design followed by a whole range of specific technology services including:
We have recently completed Data Analytics engagements with enterprise customers across a range of sectors including Banking & Financial Services, Retail & ecommerce, App-based Taxi Operator and a global next-generation mobility (connected car) startup.
While the specific scope of each of these engagements were very different, the reason they chose Indium was simple: Our ability to design a Big Data Ecosystem that was futuristic, scalable, cost-efficient and elastic.
Give us a shout to request for a call with one of our Big Data Leaders:
By Uma Raj
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