While the rise of new analytics and BI technologies have empowered companies to become more data driven, a key obstacle still exists: enterprise data integration.
In today’s digital business landscape, data is fragmented and scattered across various systems. Pulling all this data together is a significant challenge, and with businesses constantly implementing new data sources, cloud environments and other systems, integration complexities are multiplying quickly.
Enterprises have traditionally resorted to APIs to solve the point-to-point integration problems, but data scientists and data engineers have lost access to the raw tabular data and thus to analytics/BI. Data connectivity drivers (such as ODBC and JDBC connectors) effectively act as data APIs, enabling businesses to solve this unique challenge of exposing data for BI tools such as Tableau, Power BI, Qlik, Cognos, etc.
To learn more, check out this research paper from GigaOm, which discusses:
- The importance of analytics and BI to achieving true digital transformation
- Why many businesses are struggling to capitalize on their data
- The history of conventional APIs and how it applies to data connectivity
- How data APIs scale across an array of data sources to make integration easy
Download this research paper today and learn how to reap the full rewards of digital transformation.