Integrate, transform, and govern enterprise data with a single, unified data management platform.
Every digital transformation is underpinned by a massive need for data transformation – but that can be time-consuming and complex. Part of this complexity is that most organizations are grappling with a sprawl of multiple data tools and vendors – creating silos and disparate approaches. Organizations need a way to simplify the different functions – enterprise data management, governance, and analytics capabilities – by bringing these all together into a unified solution.
At Syniti, we’re seeing this consolidation happen more often – companies are struggling to manage the mass number of tools and vendors that often can’t “talk” to each other and result in information not being shared. This siloed approach also increases the possibility of bad, incomplete, and inaccurate data moving through these different, disparate systems – and that’s going to cost businesses a lot in the long run. As business leaders start to fully grasp the importance of quality data, more and more solutions for data management are moving toward a unified platform to sufficiently answer to the scaling needs of organizations.
Unified Data Management platforms consist of multiple tools across data management disciplines, including data integration, data quality, data governance, data catalog, and master data management. For unified data management to be successful, it should combine all these solutions together under a simple user interface that allows for administration and development. These integrated, silo-free solutions need interoperability and advanced capability to manage data models, metadata, and master data.
Large organizations today have to grapple with the exponential growth of data, fragmentation of data, and decentralization across multiple clouds and hybrid environments, barring them from true digital transformation. Modern, integrated data quality management applications inherently expedite data integrations, empower business users, and promote ongoing data integrity that generates more value. Organizations like HCL Technologies, for example, are adopting these enterprise data management solutions to provide customers with secure, high-quality data and steer more intelligent processes within the business to provide increased visibility, governance, and security to data.
Visibility into target and source data
Data is constantly in flux in the modern enterprise, moving from on-prem to cloud-based systems to a single data lake, making its initial source hard to derive. Data management solutions should allow you to easily integrate and ingest data from all your data sources in order to take on a large variety of data types and volumes. This flexibility also means faster ingestion and analysis, so projects are delivered on-time and on-budget.
Lineage
Optimized business intelligence requires visibility to how data moves throughout the business and interacts with various systems and processes. All-in-one data solutions with deep reporting capabilities offer insight into how data constantly moves throughout the organization in order to maintain insight into how data is being transformed or modified.
Data governance
Enterprise data solutions utilize data catalog and data governance throughout the platform to provide standardized definitions, metadata, and pre-built dashboards, ensuring that data is always relevant and readily understood. Data is organized into one central, shared location so metadata, rules, policies, and process goals are ready to be utilized.
Privacy and security
Although data accessibility is one of the primary goals for any data-driven business, that access needs to be secured and controlled so the right users have the ability to perform the right tasks. Role-based solutions enforce controls at the user level, so the datasets being accessed are trusted ones.
Critical Features of Data Management Platforms
Unified data management platforms unite the entire organization by delivering trusted data for every use, for every user, and every source, no matter where it is stored. Solutions like flexible governance, continuous quality, and built-in best practices help you understand the data you have and quickly remediate quality issues, even while projects are still in-flight.
Interoperability across cloud, hybrid, and legacy or on-prem applications
Cloud-native data management tools are target- and source-agnostic to easily integrate with the existing infrastructure, avoiding the complexity, sprawl, and cost associated with legacy approaches to data management. With integrated tools and reporting all in one place, users have more reliable visibility into which applications or systems can be downgraded or retired to further reduce costs.
Democratize data access across the business
To enable a data-driven culture, every business user needs to be given the right tools for the job in order to have an effective, streamlined user experience and powerful solutions. Truly democratized data access means supporting the users well beyond the IT or data engineering department. User-first data management software includes features like intelligent code auto-generation, reducing the need for technical development by up to 80% and freeing up resources for projects with higher returns.
Consolidate and migrate data
Data management software should enable data consolidation for users, vendors, and databases across the business on a flexible, intuitive user experience. Combining data migration tools with catalog and governance capabilities under one solution brings together all the necessary components to successful, risk-free go-lives and ensures ongoing data quality.
Reduced costs
Traditional, on-prem data management solutions are complex and costly to implement and maintain. The needs of the business quickly outpace these legacy tools, which aren’t flexible enough to keep up with the power, storage, and digital transformation modern organizations require.
Modern, cloud-based data management platforms significantly reduce ongoing costs. A recent IDC report projects that the total value Syniti and SAP customers are realizing will be worth an annual average of $3.45 million per organization ($29,300 per $100 million in supported revenue) through IT productivity gains, business productivity, and cost reductions to the enterprise’s infrastructure.
Increased availability and access
The growing number of data warehouses and systems limits the agility of enterprises, hindering digital transformation and true ROI. Without the complexity of hybrid data landscapes, data can be securely accessed without additional data movement across data siloes.
Report & remediate data quality concerns
Comprehensive data management solutions utilize artificial intelligence (AI) and machine learning (ML) to automate thousands of manual tasks and accelerate data-led transformations. By applying centralized reporting and remediation workflow to master data and metadata, leaders can ensure consistent data quality and end-to-end data governance across the enterprise.
Integrate, transform, and govern enterprise data with a single, unified data management platform. With cloud-based systems like Syniti’s Knowledge Platform, the entire company can work and access the same set of information—creating the critical alignment that accelerates workflows and delivers better results faster as you modernize your data in the cloud. Schedule a demo with a product engineer to find out how Syniti’s enterprise data solutions support your full data management strategy in one centralized platform.
Understanding the differences between data meshes and data fabrics will enable your organization to leverage both concepts to optimize your data...
By understanding the root causes of data governance frustrations, you can work your management strategy to promote data quality and usability.
Without proper oversight, your data lake can easily become a data swamp that delivers little value to your business. Here’s how to stop that from...