Five Reasons Automation Is Key to Data Governance

Making the Business Case for Data Democratization

Today’s businesses must operate at a faster pace than ever before. Across every industry, companies are striving to improve their capacity for making data-driven decisions. For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating […]

Better Data, Better Underwriting: Simplify underwriting with better data

Advanced data analytics enable insurance carriers to evaluate risk at a far more granular level than ever before, but big data can only deliver real business value when carriers ensure data integrity. For P&C insurance, that starts with having accurate and precise information as to the location of an insured property. Data quality is critical, […]

Solving 5 Big Data Governance Challenges in the Enterprise

Solving 5 Big Data Governance Challenges in the Enterprise

According to a recent report from Drexel University’s LeBow Center for Business Analytics, 77% of data and analytics professionals say that data-driven decision-making is an important goal of data programs. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.” Poor data quality impedes the success of data programs, […]

Why Your Master Data Management Needs Data Governance

two colleagues on a laptop

Data is pivotal for the success of business operations. With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets.  Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize […]

Preventing Data Downtime with Effective Data Governance, Observability & Quality Strategies

Today’s decision-makers rely on different types of information to help them understand the complex landscape in which they operate. Most organizations use a mix of sales reports, marketing analytics, and operational reports to help their managers with day-to-day decisions and strategic planning. Such reports often turn out to be inaccurate. Imagine this scenario: the VP […]

Financial Services Regulations: Building Sustainable Compliance Programs

To comply with a complex array of regulations, financial services organizations have stepped up as early adopters of data governance frameworks. Additionally, regulators are demanding stronger and more comprehensive data quality capabilities than ever before. The aim is to minimize risk, safeguard private information, and ensure the adequacy of internal controls and sustainable compliance. Organizations that […]

5 Data Governance Best Practices

Why You Need a SAP RPA Solution

Data governance is rapidly shifting from a leading-edge practice to a must-have framework for today’s enterprises. Although the term has been around for several decades, it is only now emerging as a widespread practice, as organizations experience the pain and compliance challenges associated with ungoverned data. Briefly stated, data governance involves the formal orchestration of people, processes, and […]

Data Governance vs Data Quality: Which Comes First?

Data Governance vs. Data Quality - Which Comes First

Data governance vs data quality: both are essential to the other’s success, and to making bigger, better decisions based on data you can trust. A solid data governance program is the foundation for enterprise-scale data quality, providing a framework that aligns people, processes, and technology. Quality data is complete, verified, and validated – and it […]

4 Must-Haves for Data Governance Success in Financial Services

4 Must-Haves for Data Governance Success in Financial Services

Financial services companies invariably make use of a wide range of information, often stored in different systems. As a result, most companies in the industry operate within the context of a highly complex data environment with the need for financial services data governance. Financial services data flow between multiple complex systems. In many organizations, mainframes […]

Best Practices for Modernizing Your Data Architecture

Best Practices for Modernizing Your Data Architecture

Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you capture and manage one of the most valuable assets your organization has, its data. 6 Modern architecture best practices You can achieve […]

Building a Business Case for Data Governance: Here’s How

Building a Business Case for Data Governance - Here’s how

Data governance is fast becoming a business imperative. Many top executives and line-of-business managers lack a clear understanding of the benefits of data governance. Data is a valuable organizational asset, yet if an organization isn’t capable of fully utilizing that asset, there can be a substantial opportunity cost. Data governance plays a critical role in risk […]

How to Cleanse and Enrich Data for Better Analytics and Decision-Making

How to Cleanse and Enrich Data for Better Analytics and Decision-Making

Manual data cleanup can be time-consuming and error-prone – and yet clean, ready-to-use data is essential to the success of strategic initiatives across industries and use cases. As more organizations prioritize data-driven decision-making, the pressure mounts for data teams to provide the highest quality data possible for the business. Reach new levels of data quality […]