Posts Tagged ‘Data Validation and Quality’
Three Key Misconceptions Of Data Quality
Increasingly more corporate boards and executives understand the importance of data for improved business performance. However, the majority of the data in enterprises is of poor quality. According to a report in Harvard Business Review, just 3% of the data in a business enterprise meets quality standards. Joint research by IBM and Carnegie Mellon University…
Read MoreHow to Build a Framework for Data Governance
Good data is the lifeblood of your organization. As data volume continues to rise, your ability to manage it could increasingly spell the difference between success and failure. Data governance is a framework that helps businesses ensure that they’re managing their data efficiently and effectively. Data governance encompasses all the people, processes, and technology that…
Read MoreWhy “Data Trustability” is Essential for Building Trust in Smaller and Mid-sized Banks and Financial Services Firms
Seth Rao The recent collapse of lenders in the US has tested Americans’ faith in regional and community banks that supply credit to a significant portion of the country’s entrepreneurs and businesses. Deposits have flooded into megabanks, leading to a significant decline in smaller banks’ deposits, which could have long-lasting repercussions for the communities served…
Read MoreBuilding trust in data is janitorial work; it’s not sexy, but critical for basic operations
Rahul Rao Arizona State University Data is the lifeblood of any organization, and ensuring that it is accurate and trustworthy is essential to success. Yet, data engineering is often seen as a dull and unglamorous task. In reality, though, it is a critical function that keeps operations running smoothly. This blog post will explore why…
Read MoreData Integrity: The Last Mile Problem of Data Observability
Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality. Data observability has been all the rage in data management circles for a…
Read MoreStrategies for Achieving Data Quality in the Cloud
Previously published in Entrepreneur.com You’ve finally moved to the Cloud. Congratulations! But now that your data is in the Cloud, can you trust it? With more and more applications moving to the cloud, the quality of data is becoming a growing concern. Erroneous data can cause all sorts of problems for businesses, including decreased efficiency,…
Read MoreHow to ensure Data Trustability in your Data Lakes, Pipelines, and Warehouses?
If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if you don’t have good data quality, you’re not going to get very far. In fact, you might not even make it out of the starting gate. So, what can you do to make sure your…
Read MoreEstablish autonomous data observability and trustability for AWS Glue Pipeline in 60 Seconds
Data operations and engineering teams spend 30-40% of their time firefighting data issues raised by business stakeholders. A large percentage of these data errors can be attributed to the errors present in the source system or errors that occurred or could have been detected in the data pipeline. Current data validation approaches for the data…
Read MoreWhy do Data Quality Programs Fail?
Fortune 1000 organizations spend approximately $5 billion each year to improve the trustworthiness of data. Yet only 42 percent of the executives trust their data. According to multiple surveys, executives across industries do not completely trust the data in their organization for accurate, timely business critical decision-making. In addition, organizations routinely incur operational losses, regulatory…
Read MoreThe A-to-Z Guide to Data Quality Testing
Data quality testing guards your business against low-quality data. If the quality of your company’s information assets is impacting revenue, it’s time to consider a solution. Companies from every industry rely on accurate data for analysis and data-driven insights. Without this information, businesses struggle to remain competitive, productive, and profitable within their market. For example,…
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