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Data Lakes

Don’t know how to manage exponentially growing sources, types and volumes?

Overview

Well, did you know, a data and analytics program uses 33 data sources at an average? Internal enterprise data grows at an average rate of 50% every year? And, external data volume is growing exponentially?

If you have been wondering how to manage the exponentially growing number of data sources, types and volumes, you have come to the right place – Data Lakes is THE answer for you!

Features

Data Lakes enable a strong scalable data foundation for progressive organizations seeking a digital edge. 

  • They can handle any amount of data, even in real-time.
  • They provide the flexibility to store different types of data – structured and unstructured – from different sources, in the original format, thus saving time of defining structures, schemas, and transformations.
  • They ensure zero loss of insights, enabling sophisticated techniques of analytics - including machine learning over data mash-ups of enterprise data and click stream, logs, IoT/sensor data, videos, photos etc.

The ability to harness more data, from more sources, in less time, and empowering users to analyze their data in different ways leads to better, faster decision making. Hence, a well-orchestrated data lake sets the stage for an elevated level of analytical activity. This translates to substantial ROI in the form of revenue and profitability.

However in order to meet the needs of disparate stakeholders, data lakes require – 

  • Governance
  • Semantic consistency, and
  • Access controls

– i.e. defined mechanisms to catalog, and secure data. Without these elements, data cannot be found, or trusted resulting in data swamps.

Benefits

  • Clean and swift data lake set up
  • Immediate ROI
  • Right level of access control to ensure security while providing for agility
  • Right level of cataloguing to ensure consistency and analytical insights

We know just how to architect and build data lakes and not let you fall into the swamps. Come jump into the Data Lake with us!

Value Created for Our Customers

A clear definition of business problem statement and solution in flat 48 hours of design workshops
MVP (Minimum Viable Product) in 8-10 weeks
100% visibility to data by rapidly connecting to over 20 sources, bringing in a significant efficiency gain
Disparate systems data are brought together using different connectors, increasing speed to insights by over 50% 
Profitability improved by 10%, insights up by 100% by leveraging previously unused data sets
Improved business decision making capability with near real-time actions, queries addressed in seconds rather than taking days
From large - structured and unstructured - data sets to actionable insights in flat 12 weeks
Prescriptive models improving process efficiency by 15%
Previously unknown customer interaction opportunities identified for new business models
Visibility of process bottlenecks and lost opportunity led to immediate action, resulting in 10% increase in revenue
Patient outcome improved by 20% with the ability to take actions within 5 mins of interaction with a population health visual storyboard
A differentiated market solution for Patient Care ready in under 12 weeks
Digital platform strategy for new business opportunities with a new productized service introduction led to increase in revenue by 10-15%

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