Posts by First Eigen
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 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 MoreCloud Data Pipeline Leaks: Challenge of Data Quality in the Cloud
Organizations, especially those in financial services, struggle to ensure data quality in the cloud. Data pipelines often drop rows thanks to issues with infrastructure that companies don’t control, but the scale at which these organizations process data means that manual methods of identifying these leaks are insufficient.
Read MoreWhy the Fortune 500 is Dumping Hadoop
Saw this very informative article on the ongoing demise of Hadoop. Our customers are experiencing the same conditions the author Nicole Hemsoth is referencing. Here is a summary of the longer article. Summary Why did it grow initially? 2010-2015: Hadoop was touted for its incredible analytics performance and cost savings compared to the then dominant…
Read MoreAI ML Led Automated Data Quality
Whitepaper AI ML Led Automated Data Quality Authors: Seth Rao, Angsuman Dutta, Himansu Sekhar Tripathy, Deep Sharma Introduction Data Quality Management (DQM) impacts a number of key business drivers, ranging from regulatory compliances, to customer satisfaction, to building new business models. Quality is one of the key functions under Data Governance, as unverified/unqualified data has…
Read MoreTuring Award Winner’s Insights on Data Reliability
Turing Award Winner and MIT Professor, Dr. Michael Stonebraker wrote a white paper outlining his transformative view on data (1). He believes real digital transformation must start with clean, accurate, consolidated data sets. These ideas are already driving major change at GE, HPE, Thomson Reuters, and Toyota. This is a summary of his paper. Q:…
Read MoreMitigating Impact of Data Quality on GDPR Compliance
For GDPR (General Data Protection Regulation, a short introduction is attached below this article), Data Quality and Data Integrity are not “nice-to-have’s” and risk cannot be transferred to another party or mitigated by legal contracts. You’ll benefit by mitigating impact of Data Quality on GDPR compliance by putting these easy checks in place right away.…
Read MoreData Integrity & Data Quality: Healthcare’s foundational tools to fight inefficiencies and fraud
Key Takeaway Health insurance companies are losing millions of dollars each year due to poor healthcare Data Integrity and healthcare Data Quality in critical business processes such as claims, enrollment and membership, billing and payment, population management, pricing etc. In order to comply with the Accountable Care Act (ACA), Healthcare insurance organizations are turning to…
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