As you’re probably well aware, businesses continue to struggle with managing and gaining full value from their data in this new edge to multicloud world.
Back in 2017 the Harvard Business Review stating that “Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all. If that wasn’t troubling enough, more than 70% of employees have access to data they should not, and 80% of analysts’ time is spent simply discovering and preparing data. Data breaches are common, rogue data sets propagate in silos, and companies’ data technology often isn’t up to the demands put on it.”
Many of these same challenges are front and center today with businesses continuing to ask the big question, “what can I do to monetize my data?”
The answer is a new methodology called DataOps, which helps businesses effectively use their data to drive innovation and secure competitive advantage. Before I delve more into DataOps, let’s begin looking at traditional data management solutions.
The Old Ways of Data Management
Data management has been around since the beginning of IT, and a lot of technology has been focused on big data deployments, governance, best practices, tools, etc. However, large data hubs over the last 25 years (e.g., data warehouses, master data management, data lakes, Hadoop, Salesforce and ERP) have resulted in more data silos that are not easily understood, related, or shared. Furthermore, few if any data management frameworks are business focused. They don’t promote efficient use of data and allocation of resources, or curate data to understand its meaning—as well as the technologies that are applied to it—so engineers can move and transform the essential pieces that data consumers need for data monetization.
What becomes clear is that the old ways of data management are getting in the way of transforming data into value. Customers need to shift their strategies towards more collaborative, unified and automated processes, so they can better leverage data to advance their business. The way to accomplish this is through DataOps.
DataOps is data management for the AI era. It unleashes data’s ultimate potential by automating the processes that enable the right data to get to the right place at the right time—all while ensuring it remains secure and accessible only to authorized employees. That’s no small task when you consider just how much data is being generated today, the growing diversity of this data as well as its ubiquity.
Your DataOps Advantage
At Hitachi Vantara we empower our customers to realize their DataOps advantage through a range of offerings that support what we call the Data Stairway to Value (or SEAM). These offerings enable our customers to:
STORE: Store, manage, and protect data at the lowest cost and at the right service levels across edge, private, hybrid, and multi-cloud solutions.
ENRICH: Enrich data with metadata classification and cataloging to provide context for intelligent data management and governance.
ACTIVATE: Discover, integrate, and orchestrate enterprise data assets and leverage analytics to generate actionable insights for every enterprise interaction and application.
MONETIZE: Deliver outcomes that capture the full economic value of all the data inside our customers’ enterprise and beyond.
In the end, it’s crucial our customers chose Hitachi Vantara—a partner who will co-innovate with them to successfully deliver on their vision. This means always starting at the business outcome they are looking to drive, pairing this with the industry expertise only we have, and implementing integrated systems that maximize the value of data at each step of SEAM. Excellence at each step enables success at the next level and empowers our customers to go from crawling to walking to running towards digital maturity and a true DataOps advantage.
Are you ready to put your data to work? Come and see what a DataOps advantage can do for you.
- DataOps is a relatively new idea but it’s essential in today’s world where data is growing in volume and becoming more diverse, distributed and siloed than ever before.
- Businesses are looking to DataOps to efficiently get the right data, to the right place, at the right time in order to monetize their data and become a leader in today’s digital economy.
- DataOps is needed to understand the meaning of data as well as the technologies that are applied to the data so that data engineers can move, automate and transform the essential data that data consumers need.
- Hitachi Vantara offers a proven, end-to-end, DataOps methodology that lets businesses deliver better quality, superior management of data and reduced cycle time for analytics.
- At Hitachi Vantara we empower our customers to realize their DataOps advantage through a unique combination of industry expertise and integrated systems that support the Data Stairway to Value (or SEAM).