2020 DBTA Readers' Choice Awards: Best Data Modeling Solution
Data modeling tools help organizations create data models that enable them to shape, organize, and standardize data infrastructure, change structures, and produce detailed documentation.
Leading data modeling products offer metadata and schema visualization, well-governed and integrated processes for defining and designing data assets of all types, and centralization and integration of business and semantic metadata to accelerate data governance and increase enterprise data literacy and collaboration. Key features also include the ability to deploy accurate changes to data structures across different platforms, construct logical and physical data models, compare and synchronize models, create and modify database schema and scripts, as well as reverse- and forward-engineer databases and data warehouse systems.
WINNER
Winners' Circle by Adam Famularo, CEO
Data Modeling Underpins Data Governance
You can’t manage or govern what you can’t see, much less use it to make smart decisions. Read more.
FINALISTS
2020 DBTA Readers' Choice Awards: Best Data Quality Solution
Whether the goal is to reach customers "where they live" in direct marketing campaigns, or to analyze the freshest and most accurate data possible, the drive for data quality is increasing. Data quality is a process that begins as data sources are identified and accessed, extending to managing and storing the data. Data quality is at the core of any analytics or AI processes, and decision makers need to be assured that their real-time analytics and AI systems are employing the highest-quality data available so they can trust their data.
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2020 DBTA Readers' Choice Awards: Best Data Replication Solution
Supporting high availability, enabling scalability, and offloading reporting and analytics from OLTP systems, data replication is a critical process that supports infrastructure and data services. Data replication is used to keep essential data available to users and customers. In addition, disaster recovery—and by extension, business continuity—is another key use case, with an effective solution enabling split-second failovers to backup sites, clouds, and datasets, so that end users can continue to work uninterrupted.
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2020 DBTA Readers' Choice Awards: Best Data Security Solution
IBM Security's 2019 Cost of a Data Breach Report found that the cost of a data loss fiasco rose 12% over the previous 5 years, reaching $3.92 million on average. In the study, companies with less than 500 employees suffered losses of more than $2.5 million on average—a devastating amount for small businesses, which typically earn $50 million or less in annual revenue.
With an increasing array of laws that address data privacy, such as GDPR, CCPA, and many others, it is more critical than ever to know exactly where data is across the enterprise and to have safeguards in place to protect it. The embarrassment to companies that fail to address the risk of data loss—due to cyberattacks, human error, and viruses—in addition to the risk of fines and loss of customer trust, is just too great.
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FINALISTS