As data becomes both more voluminous and business-critical, organizations need data management solutions that can fill a broad range of objectives. At a minimum, intelligent data management technology must protect data from loss, compromise, corruption and theft. But data management tools must also reduce the cost and complexity of data storage, archiving and compliance while ensuring high data availability and optimal performance for IT systems.

The data architecture defines the data along with the schemas, integration, transformations, storage and workflow required to enable the analytical requirements of the information architecture. A solid data architecture is a blueprint that helps align your company’s data with its business strategies. The data architecture guides how the data is collected, integrated, enhanced, stored, and delivered to business people who use it to do their jobs. It helps make data available, accurate and complete so it can be used for business decision-making

Organizations manage more data than ever. And the demand for more data continues to surge. Connecting disjointed and diverse data across hybrid environments to achieve organizational goals has become increasingly challenging and complex, demanding a broad mix of data integration capabilities to bring it all together. With Cloudvare, you can address all of your data integration needs to solve more business problems and reduce costs while boosting efficiency, productivity, innovation, and growth.

A data warehouse is a way to provide business analysts and other users with a centralized repository of enterprise data from which to glean insights that guide business decisions. Data warehouse automation (DWA) helps IT teams deliver and manage much more than before, much faster, with less project risk and at a lower cost by eliminating repetitive design, development, deployment and operational tasks within the data warehouse lifecycle.

The process of transferring data between two or more storage types is known as data migration. The transfer can occur between different formats or different computer systems. It is one the most important considerations to keep in mind for any kind of system implementation, consolidation or upgrade. This relates directly to a company’s business practices, often orchestrated by business management tools that will need to be replaced or updated in the event of a merger or acquisition. For this, movement of data can be required for anything from one store, database or application to another.

Data is unlike any other asset your organization owns. It never wears out, it never drains, and it can be used repeatedly. But the value in data is not in having it, it’s in how you use it. Altair enables data-driven enterprises by providing teams the power to use data analytics and AI to gain competitive advantages and drive next-level business results.