Compressa leader in analytics-driven unstructured data management and mobility, today announced the latest version of Komprise Intelligent Data Management, building on its Komprise Smart Data Workflows portfolio of solutions.
Komprise assures that the new solution can reduce enterprise storage, backup and cloud costs by 70%, while making data readily available to cloud-based data lakes and analytics tools. TechRepublic spoke to Krishna Subramanianco-founder, president and COO of Komprise, to take a closer look at the latest tools and why unstructured data management is critical.
TO SEE: Checklist: Cloud Storage Management (Tech Republic Premium)
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The big picture for unstructured data
“Corporate IT organizations struggle to contain the rampant growth of unstructured data, such as documents, video and audio files, applications, research and sensor data,” said Subramanian. “They need automated ways to manage storage, backup and cloud costs, and they need to make it easy to extract business value from the data.”
Komprise’s 2022 Status of unstructured data management report reveals that global data volumes will reach 97 zettabytes by 2022, more than double the total data production before 2020. The exponential increase in data is linked to digital and cloud transformation and acceleration.
Most of this data is unstructured, requiring additional efforts to clean, manage, migrate, store, and prepare it for use. This puts pressure on enterprise IT: more than 50% of enterprises today manage at least 5 petabytes of data, a percentage that has grown significantly in just a year.
The big question is what to do with all this data. Doing nothing or choosing the wrong strategy can destroy businesses. The consequences can range from data waste errors to significant revenue losses and cybersecurity risks. The use of unstructured data is also proving critical to addressing economic slowdowns, coping with regional tensions and disruptions, and keeping pace with the changing legal data landscape.
Intelligent Data Management offers new solutions for unstructured data
In addition to the aforementioned problems with unstructured data management, companies complain that creating reports for users takes time and does not always give people the answers they need. Subramanian explains that IT organizations are “pretty thinly spread”.
“Our customers tell us they want to find ways to provide secure, self-service capabilities for department users,” said Subramanian.
With its growing toolset for unstructured data management, Komprise offers customers a possible solution. With Komprise Intelligent Data Management, central IT can authorize departmental end users to interactively monitor usage statistics and data trends, tag and search data, and identify data sets for analysis.
These new Komprise features solve the cost of IT storage infrastructure costs while allowing users to find and use the right datasets.
“Our latest release focuses on providing secure, delegated self-service, which allows data owners or managers – typically in IT or data science or research roles – to participate in decisions about how their data is processed,” said Subramanian.
Komprise solutions can also help IT organizations control costs, a benefit that is in high demand due to the global economic landscape.
TO SEE: Storage for unstructured big data should be part of a company’s strategy (TechRepublic)
Komprise Intelligent Data Management Capabilities
From visualization to the integration of data management and data quality policies, Komprise’s new smart solutions automate and simplify the entire lifecycle of unstructured data management. With the latest tool release of Intelligent Data Management, customers can expect the following features.
Visualization and access
In an interactive dashboard, authorized department users can monitor and understand their data usage. More specifically, they can learn how many and what types of files there are, where files are stored, and which files and applications are the largest consumers of corporate data resources.
Real-time analysis
Users can create queries to gain real-time visibility and manage costs instead of asking IT to create static reports.
User-driven tagging
Users can enrich data with additional metadata tags to facilitate search and data management actions. Use cases for this feature include archive storage or compliance and legal hold.
User-driven tiering and data mobility
Authorized users can identify data sets with specific characteristics to move to cloud storage or other secondary storage. This enables more cost-effective data management or research initiatives.
Delete data
IT can set up moving and deleting data as a workflow. The whole process is fully automated. For example, all marketing campaign files can be moved to archive storage 30 days after project completion and deleted for deletion after two years.
Komprise’s data management portfolio
The Komprise architecture also ensures that users have an efficient and transparent experience when accessing their data, regardless of where it has been moved. It transfers data in a way that can be used directly in the cloud or other third-party tools for artificial intelligence and machine learning processing.
In addition to the Intelligent Data Management platform, Komprise offers the following products and features to support unstructured data management needs.
The Global File Index
This solution provides an easy way to visualize all data and search for specific files in all storage. The Global File Index is compatible with on-premises, edge and cloud file storage formats.
Komprise transparent motion technology
Komprise TMT moves data without user interruption; data files are fully accessible from source, using industry standard symbolic (sym) links. Komprise supports cloud-native access to data once it’s moved to object storage, allowing users to leverage cloud-native ML and business intelligence tools.
Elastic data migration
Komprise’s Elastic Data Migration reportedly moves data to the cloud 27 times faster than standard migration tools. Customer reviews also emphasize the high level of reliability of this tool.
Smart data workflows
Smart Data Workflows is a feature that gives IT users the tools to create automated data processing workflows. Workflows can be used to find the right data across all storage media, tag and enrich the data, and send it to external tools for analysis.
Why leaders focus on unstructured data management
Komprise’s research shows that 87% of IT leaders see managing unstructured data growth as a top priority for 2022, a number that rose from 70% in 2021. Leaders say the challenges for this year are “data cloud migration without users and disrupt applications” and high data storage and backup costs. Other primary concerns include visibility, data governance application, and regulatory compliance.
TO SEE: 5 ways to improve unstructured data management (TechRepublic)
“Our company’s recent research shows that nearly 68% of enterprises spend more than 30% of IT budgets on data storage, backup, and disaster recovery,” reveals Subramanian. “Storage IT professionals need to work with users to make smart decisions about their unstructured data, which costs so much money.”
Valuable cases of unstructured data usage
The value of unstructured data becomes apparent as we examine several examples of how unstructured data is generated today. In manufacturing, smart factories, automotive, healthcare and pharmaceuticals, unstructured data is rapidly being generated by the Internet of Things, research and development departments, robotics, smart devices and endpoints. The value and potential of this data is enormous and critical to running an efficient business.
In business, finance, banking, capital markets and insurance, companies face the challenge of managing a greater amount of unstructured data from digital financial transactions, customers, markets and business documents.
Managing different types of unstructured data proves to be complex, but most companies believe it is worth the effort. Especially when you consider the amount of unstructured data generated by social media, surveys, publications and websites, brands are realizing that they have the potential to influence brand and customer experiences, marketing, virtual sales and campaigns if they use this data effectively. .
Using Komprise solutions to optimize your company’s unstructured data
Komprise designed its latest Intelligent Data Management offering to help IT collaborate more effectively with legal, finance, and M&A groups for compliance, all while providing users with more self-service data management capabilities. Users must interactively understand how their data grows and is used, and how to run queries to find and tag data, whether the data is in the cloud or in a data center. Tools like what Komprise offers help users meet these new expectations.
“It’s all about giving departmental users more insight into the data they own,” Subramanian said.
With Komprise, departments can interactively zoom in on their own data consumption and costs.
“For the first time, departmental IT or other data owners can answer questions about their data to support research, analytics, compliance and regulatory audit initiatives,” said Subramanian.
Identify data management best practices that support innovative tools
Whatever tools you choose to help you manage business data, you will ultimately fail if your organization does not have the right people and processes to support these tools. Companies are increasingly turning to data literacy training and standardized data management policies and procedures to ensure the success of these data management tools.
So if your organization is only now realizing that it has a data management or governance problem, start by hiring the right people and building success with the right documentation and procedures. A resource like TechRepublic Premium Data management checklist for your organization can make the difference between a data management tool and a team that does nothing and a dynamic team and tool portfolio that optimizes structured and unstructured data use cases.
