4 Ways Embedded BI Improves Data Governance

We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom. A proper data…

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Foundations of Forensic Data Analysis

Forensic data analysis involves collecting, modeling, and transforming data to identify and highlight potential risk areas, detect non-standard or fraudulent activities that use data, and set up internal controls and processes to minimize a variety of risks. Data forensics can also be used in instances involving the tracking of phone calls, texts, or emails traveling…

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Securing Data in Transit for Analytics Operations

Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights.  Modern data warehouse platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, and IBM Db2 are built with…

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How Data Analytics Is Transforming Due Diligence

Due diligence is the complex process of assessing a potential investment and ensuring it is a sound one. It involves the gathering, classifying, and analyzing of large volumes of data. Given its very nature, it’s the perfect field for data analytics, which can speed processes up and assess the quality and reliability of data. Due…

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Data Governance: Your Key To Unlocking an Insights-Driven Business

Organizations are constantly seeking ways to gain a competitive edge by transforming data into actionable insights through analytics. However, achieving analytical success goes beyond just collecting large volumes of data and building dashboards. The key to turning data into meaningful and actionable insights across the organization lies in a frequently overlooked area – establishing a…

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AI-Driven Predictive Analytics: Turning the Table on Fraudsters

Fraud techniques, including phishing, vishing, deepfakes, and other scams are becoming increasingly sophisticated – making it easier than ever to perpetuate fraud at scale. This is placing businesses in danger of financial losses, and trust and reputational damage. Now, there’s an alarming trend among organized crime rings that have the potential to defraud enterprises of…

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7 Data Democratization Trends to Watch

Enterprises all around the world are relying on analytics to provide the insights they need to streamline operations and delight their customers. However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up…

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Self-Service Data Access Best Practices

Today’s digital realm increasingly emphasizes the value of self-service data access. Firms are recognizing its potential to empower users and accelerate decision-making processes. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information…

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Data is Risky Business: A Wicked Problem This Way Comes

A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI. This happened due to ‘human error’…

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Self-Service Data Without Chaos

Information is power, and the ability to put information into the hands of those who can quickly act on it separates the leaders from the laggards in any market. Everyone in an organization – from HR professionals leveraging data to dictate hiring decisions to brand managers leveraging data for pricing optimization – benefits from analytics….

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