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Byte 10 – Are you building the big data solutions right?

Perficient

Bigdata solution is a field to process data from disparate sources, store the data, and perform analysis to get a meaningful and measurable action from the data. The benefits from big data processing provide a variety of insights, bring values to the organization. . Understand your data. .

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Financial Services will Invest $9 Billion in Big Data This Year

Bank Innovation

Data is created at every financial transaction, and as datasets expand beyond what a single database can hold, big data is born. As complex as these datasets can be, they hold valuable information for financial institutions and are spurring financial services investments.

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Big Data For Big Returns At Retailers Big And Small?

PYMNTS

Thus, in the age of Big Data, how to ensure that time and money are well-spent? For Jass personally, coming from the marketing world to Vantiv and combining fraud and data teams has led to a holistic understanding of the shopper. But reaching out involves time and money — both precious commodities.

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Big Data and Analytics: Keys to Bank Innovation in Distribution and Marketing

Accenture

Banks are relying more and more upon Big Data and analytics to transform their distribution and marketing strategies. In our research into how high-performing companies (those that deliver above-average business performance on a consistent basis) approach analytics, we found that. Read more.

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Perficient Included in IDC Market Glance: Lending Digital Transformation Strategies

Perficient

IDC recently included Perficient in the “Loan Collections-Recovery” category of its “ Market Glance: Worldwide Consumer & Small Businesses Lending Digital Transformation Strategies, Q2 2022 (Doc # US49009422, April 2022).” The IDC Market Glance offers an overview of the landscape for consumer and small business digital lending.

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Using a big data approach to overcoming banking regulatory requirements

Insights on Business

Interest rate risk in the banking book (IRRBB) guidelines bring ALM analytics much closer to market risk standards and add more scenarios, so banks must dive deeper into the risks embedded in their loans, deposits, and derivatives. Integrating big data technology with risk management for a complete solution.

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Big Lenders Need Help With Big Data, Too

PYMNTS

. “Alternative lending solutions are utilizing convenience, speed and strong analytics to minimize risk as the key drivers in extending credit to customers today and as a key differentiator in the market,” Horrocks noted. Data is vital to remaining competitive , he said. ” .”

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