IBM Cloud Pak for Data enhances DataOps services to deliver business agility with cost savings and risk reduction
Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to deliver trusted data quickly by creating trusted data pipelines between data sources and data users mapped to their critical business objectives.
To accelerate DataOps program implementations, IBM Cloud Pak for Data brings together all the critical cloud, data and AI-led automation capabilities as containerized microservices based on an open data and AI platform on multicloud on any cloud. The latest innovations around Cloud Pak for Data were designed to help you understand, trust, and utilize your data while mitigating risk and cost burdens by 65-85 percent, as recently shared in Forrester's Total Economic Impact of IBM Cloud Pak for Data.
Know your data
The first step to ensuring that your data is onboarding correctly, is to define it in business terms to make the data easy to understand. Onboarding data quickly will accelerate data pipelines for any downstream data operations and data users. The IBM Global Chief Data Office used AI-led automated cataloging system for accelerated data onboarding for several business projects that resulted in $27 million cost savings while eliminating decades-old manual cataloging bottlenecks. AI-led cataloging and metadata management ensures your DataOps practice has the context of your enterprise and industry with consistent definitions and rules for your data so you can use it to drive value for the business. Enhancements to Watson Knowledge Catalog services and the introduction of Watson Knowledge Catalog InstaScan for Cloud Pak for Data are accelerating the pace business analysts can understand their structured and unstructured data, while ensuring their compliance efforts are streamlined. Tight integration between Watson Knowledge Catalog InstaScan and Box bring automated governance and security of content to the cloud while supporting remote and mobile work. This helps support a trusted cloud data footprint including Cloud Content Management from Box, Google Drive and Microsoft.
Trust your data
Organizations master their data in order to provide a singular, trusted, authoritative view of entities that are typically stored—and potentially duplicated—in siloed applications from disparate sources as well as discovering their relationships and hierarchies. IBM Master Data Connect, based on a scalable and high-performance microservices architecture on Cloud Pak for Data, provides an extremely fast and highly available read-only access to master data and facilitates access to that data in the data center closest to the consuming applications and users. This, in turn, enables fast search and query of master data by downstream users with a deeper understanding of customers, products and accounts to create net new revenue and impact the bottom line by reducing the costs associated with managing this data.
With IBM Master Data Connect for Cloud Pak for Data, organizations are able to separate consumers and consuming applications from mission-critical data implementations to help accelerate project deployments. Customer-facing applications also have an accurate and up-to-date representation of the master data thereby improving the customer experience. IBM Master Data Connect can be used in conjunction with existing IBM Master Data Management deployments, or with the IBM Master Data Management Extended Service for Cloud Pak for Data which launched earlier this year.
Use your data
One of the hurdles for the IT groups is the performance hit that data scientists will create against their production data which is in most cases revenue-generating systems. IBM Virtual Data Pipeline (VDP) produces a clone of production data without slowing down production systems. That clone is kept up-to-date and can now feed the Cloud Pak for Data platform and can become a source of data virtualization. VDP also provides an extra layer of security and control through role-based access control to personal information and gives analytics teams near-instant low impact access to the most recent data an organization has available without impacting processes and time. IBM VDP for Cloud Pak for Data provides access to business users and analytics teams at the time they need it, at scale, without impacting operational systems.
Additionally, for applications, operations and analytics users who are in need of access to large volumes of data in real-time, IBM DataStage for Cloud Pak for Data feeds such systems and users in real-time by quickly ingesting data and building jobs with automatic job generation—which is nine times faster than hand coding. Automatic job generation helps ingest high-quality data from a wide variety of sources and targets (including z/OS, SAP), automates and defines best practices for job generation.
Users can therefore not only speed up the time to build jobs—by up to nine times faster versus hand coding—but also run these jobs on high performance, low latency parallel engine with DataStage on Cloud Pak for Data. This engine can support publishing millions of records per hour at low latencies to feed real-time analytics engines on different cloud platforms such as Google, Amazon Web Services (AWS), IBM and Microsoft Azure.
IBM continues to invest in DataOps capabilities to help you on your journey to a DataOps practice with a prescriptive methodology, AI and ML-based technology and the IBM DataOps Center of Excellence. With the support of DataOps experts, you can develop a customized approach based on your business goals, and identify the right pilot projects in alignment with changing market conditions to drive accelerated value.
Learn more about Cloud Pak for Data and its projected return on investment ranging from 86-158 percent by reading Forrester's Total Economic Impact of IBM Cloud Pak for Data.