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    Decision Moments: Speed and simplicity for data analytics

Data Analytics Platform

Gain business insights at the speed of data and simplify IT complexity—using your existing investments

Speed is the big differentiator for today’s businesses. How quickly companies can gain new insights, make decisions and arrive at outcomes can make the difference between winners and losers. To gain a competitive advantage, organizations are looking for new ways to accelerate the insight process and simplify IT complexity with data analytics tools that leverage existing investments.

To drive greater growth efficiency and innovation, companies must also embrace big data. By creating data lakes and using intelligent, self-learning analytic systems, companies can make fast, evidence-based decisions, deliver targeted digital solutions and stay ahead of competitors. LTIMindtree can help.

Create more value from digital transformation

LTIMindtree Decision Moments is the first data analytics platform to apply continuous learning algorithms to large data pools. Using this innovative sense-and-respond system, companies can uncover compelling insights that improve over time and create more value from their digital transformation.

Decision Moments is an agile and customizable data intelligence platform that simplifies technological complexity by easily adapting to fit the requirements of your organization’s existing data analytics investment. And it’s also flexible enough to modify in response to changes in the market, technologies or business needs.

Decision Moments has the features companies need to accelerate processes and deliver faster insights:

  • Includes more than 20 industry-specific machine-learning algorithms based on deep learning techniques.
  • Allows you to leverage 25 business apps across retail, consumer goods, travel, banking and insurance industries.
  • Offers access to a design store with 35 prebuilt technology components for big data programs.
  • Provides a modeling sandbox to perform rapid exploratory data analysis before investing at scale.

Decision Moments, powered by AWS and Azure data platform, is designed to extract full value and achieve cost savings.

AWS Services: AWS Step functions, AWS S3 for DataLake, AWS Glue Catalog for Data catalog, AWS RedShift for DW needs and streaming with Kinesis data streams.

ML & Ops: SageMaker and big data environment: AWS Data Services and Spark.

Azure Services: Azure Data factory, Azure Data Lake Storage for Data Lake, Azure Data Catalog, Azure Synapse for DW, and Kafka for streaming. ML & Ops: Azure ML Services and big data environment: Azure Data Services and spark

Here’s an instance of how we help our clients:

LTIMindtree helped a consumer products company(CPG) integrate all data on to data lake and make actionable insights available to stakeholders.

LTIMindtree’s Decision Moments provides your key decision makers with the platform they need to make sense of large amounts of data from multiple sources. With diagnostic, predictive and prescriptive analytics capabilities at your fingertips, your organization can make rapid strategic and operational decisions, deliver targeted digital solutions and gain the full value of your company’s digital transformation.

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Data Analytics Platform Building Blocks

Featured Insight

What sets LTIMindtree’s Decision Moments apart from other platforms is that it provides a nimble, agile and customizable data intelligence platform that simplifies technological complexity by easily adapting to fit the requirements of your organization’s existing data analytics investment.

It is also flexible enough to modify in response to changes in the market, technologies or business needs. To reduce development time in order to make delivery fast and easy, the API-driven and visualization-led solution uses pre-built technology components designed to optimize big data programs.

The platform includes industry-specific analytical apps that make it easy to rapidly build analytic prototypes. It speeds decision making by ingesting heterogeneous data sources into a business data lake and enabling self-service that allows business users to manage that information using meta data.

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