Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. The scope and scale of public spending—federal outlays alone were approximately $6.6 trillion in fiscal year 2020 according to the Congressional Budget Office—make FWA an inherently difficult problem to solve.

Business intelligence reporting is a valuable weapon in an organization’s competitive arsenal. Here’s everything you need to know about it.

Marketing based on the next best action requires effective data handling for success. For Canadian insurer, Beneva, however, silos were standing squarely in the way. With over three million customers and CA$13 billion in assets, Beneva is one of Canada’s largest financial institutions. They had over 75 years of product and customer data, but that data was isolated in various systems, databases, and customer portals.

I recently sat down with CFODive to discuss the importance of modern financial analytics in transforming the way financial leaders and their organizations operate – a topic that is only becoming increasingly prominent. Business strategies have had to rapidly adjust to address market volatility, consumer trends, and unpredictable world events. These dynamics have forced finance teams to rethink how they are using data and analytics and take a more modern approach.

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

Talend has a lot in common with our customers. We collect a whole lot of data. We take pride in how we use that data. And we’re always looking for new ways to drive better business outcomes with our data. That is why Talend recently launched the Digital Touchpoint Model (DTM) initiative to create an exceptional, data-driven, “One Talend” support experience for customers, using our own products and innovative best practices.

Extensive coding was once necessary for software development. But while businesses still hire software developers to build an application, low code solutions have changed the game. Enterprise applications are now developed without writing a single line of code. Today, complex applications are developed within hours with low-code or no-code business intelligence (BI) platforms.

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

A lack of understanding regarding the role of data in decision-making is a reoccurring challenge for many organizations. However, with the increase in quantity and complexity of data, you need to do everything possible to help your people use data effectively.

Finance has been at the forefront of enterprise analytics for decades. Over the years, these analytics have evolved from reactive, descriptive analytics related to financial performance, treasury holdings, and inventory management to predictive and prescriptive analytics for risk, credit, and financial business modeling.