Today, driven by artificial intelligence (AI) and machine learning, every application is now an analytic application and every business interaction needs to be informed by real-time, right-time data. At the same time, connected machines are flooding businesses with huge amounts of data from the edge to the cloud, driving organizations away from centralized, single data centers to distributed pools of data. Data has become a powerful driver of digital transformation across industries such as manufacturing, transportation, energy, healthcare and more. And the ability to effectively harness this data is crucial to building a successful, sustainable and resilient business model.
This data is the new, high-octane fuel that will power your company’s innovation engine. To rev up that engine, you need an agile data infrastructure that takes the complexity out of the equation, links together distributed data sources, and gets the right data to your innovators in real time. To get there, you need to master your data pipeline – how you access, transform, analyze, and get that data to your applications to drive economic value – and maximize your return on data
Data no longer resides solely in a data center in a company building. Distributed data is the new norm. More and more companies are moving a significant portion of their data assets to the cloud to take advantage of its scalability and cost savings. And they’re creating edge data centers to store data from edge systems – points of sale, connected machines and smart devices – rather than sending it on a time-consuming, costly journey to a centralized data repository.
Today’s organizations store their data assets across multicloud environments and distributed data centers – in addition to on-premises data centers – and old-school data pipelines can’t keep up. These traditional, custom data pipelines are costly, complex, time- and resource-consuming dinosaurs. With today’s customer expectations of instant availability and on-demand service, they don’t even come close to hitting the mark. It could take six to nine months for your IT staff to build a pipeline that connects your innovators to the data they need, and by that time your opportunity may be long gone.
Your data pipeline needs to quickly link your distributed data sources across your enterprise, eliminate silos, and take the burden of data access from your innovators so they can focus on taking advantage of the opportunities that are here right now. Remember: your innovation engine is only as fast as your data pipeline.
When you optimize your data pipeline with data-friendly technologies such as automation and advanced analytics, you open the tap to flow real-time data to your innovation engine. The need to build new data products requires an intelligent dataops platform that delivers excellent customer experiences, creates new insights faster and lowers costs.
In one case, a high-performance automation machinery and software manufacturer needed to optimize its products to increase production output and reduce costs. Its legacy business intelligence system couldn’t keep up with the massive volumes of data involved. The company turned to an end-to-end big data integration and business analytics platform to help it scale to handle its growing data volumes. Now the ramp-up time for new assembly machines is 30 percent shorter, their productivity for production lines increased by 15 percent, and their IT integration costs decreased by 35 percent.
Here’s a recent real-world example that illustrates the potential of the modern data pipeline: A petroleum refinery near a metropolitan area caught on fire. Within hours, somebody had mashed together data from Google Maps, public environmental sensors and first responders, and created an application that provided real-time information to the public about the direction of the smoke, school closings, where the air was dangerous, and more. And they did it all within a few hours by building the data pipeline that linked that disparate data. The data was there, and the pipeline got it to the people who needed it fast.
This is exactly what enterprises today are looking for: the capacity to, within a matter of hours, pull together a mashed-up application that analyzes real-time data and presents it in the right context to drive the best decisions. That kind of data agility is what ultimately delivers on the promise of data-driven digital transformation. By taking advantage of automation and advanced analytics, you can eliminate the complexity, integrate data across your company, and master your data pipeline to flow that high-octane fuel to your innovation engine.
How Hitachi is helping businesses master their data pipelines to drive data-driven innovation
With the perfect blend of operational technology experience and IT expertise, Hitachi helps organizations optimize their data management and ensure their data pipelines keep pace with business growth.
With Hitachi's DataOps portfolio, you can leverage automation and advanced analytics to eliminate data complexity, integrate data across the enterprise and master your data pipeline to build the kind of data agility that delivers on the promise of innovation and digital transformation.
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