Discover how financial organizations can leverage a collaborative data science platform to effectively navigate the challenges associated with ESG embedding and deliver high-value transformation across the financial services value chain.Learn More
Organizations face a myriad of challenges when it comes to analytics efficiency, including but not limited to unlabeled data, poorly labeled data, inconsistent or disorganized data, an inundation of data sources, a lack of tools to properly address data quality concerns, and process bottlenecks. This sentiment, exacerbated by the sheer volume of data generated and maintained by financial institutions, only becomes more problematic for organizations with multiple business units desiring to be more data driven — especially without a centralized repository for analytics efforts.
Read on to discover how Banker’s Bank successfully transformed their organization by automating processes for gathering and ingesting data, simplifying the end-to-end analytics process, and increasing the rate at which their business can make data-driven decisions.
About Bankers’ Bank
- As a bank for banks, the company works with community-based financial institutions by delivering high quality products and services at competitive pricing, while providing a return to shareholders
- Bankers’ Bank solutions include payments and cash management, residential mortgage solutions, bankcard solutions, leasing, commercial banking, investments, enterprise risk management, and wealth management
- Founded as “Wisconsin’s Independent Bank” in 1981, Bankers’ Bank now serves banks throughout the Midwest (with focus on Wisconsin, Iowa, Illinois, Indiana, Ohio, and Michigan), with specialized services available to banks located anywhere in the U.S.
- 140 employees, U.S.-based in Madison, Wis.