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The financial services industry, along with other sectors, has benefited from the advent of big data. According to a recent study, big data has improved the performance of these businesses by nearly 30 percent – a decent figure that’s hard to ignore. With that, the need for data quality tools is on the rise among financial services companies.
Lamb Financial Group is one of the fastest growing insurance brokers in the country, providing financial services exclusively to non-profits and social service organizations nationwide. The company is dedicated to finding insurance required by local charities tackling some of society’s toughest issues. They recently enlisted the services of Data Ladder and DataMatch Enterprise to help with their data cleansing needs. The organization needed to extrapolate data from different sources. With slight differences in the key field, they needed to reduce the amount of data scrubbing and save time with cleaning their data. With accuracy being such an important part of their business, maintaining a high level of standardization was also very important for the organization.
Read more in the case study.