Overcome Data Silos with Resource Oriented Architecture
Data as a Strategic Asset
Studies have shown that in certain information-heavy industries such as Capital Markets, data management has become the second largest cost after payroll. Examples of data management expenses consist of: Data Federation, Data Virtualization, and Data Warehousing. SlashDB was built to achieve a greater return on the strategic business asset that data has become.
Triumph over Data Silos Without Disrupting Business Transactions
If you’re in an information-heavy industry, like Capital Markets or E-commerce, data management is probably costing you money. Lots of money. Requests for data typically require individual ad-hoc queries and IT support overhead forms an issue and can lead to numerous delays. Additionally, data requests may result in local copies of data which may lead to errors and compliance issues. In certain cases, heavy demand can cause overload and can crash the database.
Enable Business Mobility Solutions
Unless you’ve been keeping up with data accessing techniques, you’re probably spending lots of time, energy and money making direct, ad-hoc requests of your data bases. That’s why it’s time to for SlashDB to manage your database.
Empower Analysts to Manage Unobstructed Data in Full Context
SlashDB forms a light-weight single access point to your enterprise’s mission critical data that can be scattered across various departments and database servers. It does not require creating a central data warehouse, but it will enhance its value, if you have one. By accessing data at the source in full context, users will avoid bulky overnight feeds. SlashDB empowers analysts to utilize data in its unobstructed form for self-service reporting and business intelligence tasks. Users of SlashDB will be able to create reports, dashboards, and perform joint analyses on live data available from disparate databases.
Multiply Data Asset Value by Integrating with Intranet Search Engine
In SlashDB, database records can be accessed by hyperlinks and relevant records are automatically linked to each other. An importat and valuable side effect of this feature is the ease of integration with corporate intranet search engine. Business users can search for data using natural language phrases similarly to searching online. This saves a lot of time for both the business analyst and data administrator.