Driving Your Business Forward with a Smart Data Fabric

with InterSystems

Today more than ever before, financial services organizations are striving to gain a competitive edge, deliver more value to customers, reduce risk, and respond more quickly to the needs of business. To achieve these goals, organizations need easy access to a single view of accurate, consistent, and trusted data - and all in real time.

However, with growing volumes and complexities of data, many businesses struggle to achieve this goal. And a data grows, so does the prevalence of data silos making integrating and leveraging data from internal and external data sources to power accurate business decisions a challenge.

Recently, data fabrics have emerged as a much-needed architectural approach to providing accurate visibility across the entire business, without the problems associated with data warehouses and data lakes. Data fabrics can transform and harmonize data from multiple sources on demand to make it usable and actionable.

Smart data fabrics take the approach a step further by incorporating a wide range of analytics capabilities. Including data exploration, business intelligence, natural learning processing, and machine learning, enabling organizations to gain new insights and power intelligent prescriptive services and applications.

Leading organizations are leveraging smart data fabrics to power a wide range of mission-critical initiatives, from scenario planning, to modeling enterprise risk and liquidity, regulatory compliance, and wealth management.

At the core of a smart data fabric is a modern data platform, providing:

1 Simplified Architecture - A modern data platform provides many capabilities that are needed to implement data fabric in a single product built from the ground up. This reduces complexity, speeds up development, and simplifies maintenance and operations, lowering total cost of ownership compared with implementing a data fabric from many different point solutions.

2 Embedded Analytics - A modern data platform provides rich embedded analytics capabilities, including machine learning, business intelligence, data exploration, and natural language processing that execute where the data resides, eliminating the need to move data to different services and environments to perform analytics.

3 Real-time Insights and Actions - A modern data platform provides a very high performance transactional-analytic data management engine, providing the extreme performance at scale to required to support real time and low latency use cases.

InterSystems IRIS is the next general of data platform that simplifies architectures and provides extremely high performance for organizations that are implementing enterprise data fabrics to meet their most challenging business requirements.

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