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  • Is poor data quality like an oil spill?

    Discover the parallels between poor data quality and an oil spill in this insightful article. Learn why data integrity is crucial in the age of Big Data and how companies can achieve valuable insights while filtering out irrelevant sources.

  • Building the business case for data quality

    Learn why data quality is crucial for your enterprise. Avoid faulty assumptions and delusions of grandeur that hinder your case. Concrete metrics and specific examples make for a compelling business case. Read more.

  • Do you trust your data? The importance of report certification

    Do you trust your data? Learn about the importance of report certification in ensuring the reliability of business intelligence (BI) reports. Understand data governance, data lineage, and data quality assessment to make informed decisions based on trustworthy data.

  • Can Business Analysts Transition to Business Intelligence Consulting?

    Can business analysts transition to business intelligence consulting? Discover how proper training and certification can enable this transition. Learn about the key differences between the roles and the essential skills needed, including business analytics, dashboarding, and business intelligence software

  • The Significance of Data Quality in the World of Data Science

    Discover the importance of data quality in the world of data science. Learn how data integrity forms the foundation for accurate analysis and reliable insights in this influential field. Find out how a data scientist’s diverse skill set, including technical expertise, business acumen, and effective communication, contributes to success in the era of Big Data.

  • Big data, quality matters!

    Discover why data quality is crucial for unlocking the true value of big data. Quality data is accurate, reliable, and relevant, free from errors or duplicates. Learn how organizations can ensure data quality, overcome challenges, and leverage high-quality big data for enhanced decision-making and business success.

  • Trust is at stake – use the right match approach

    Originally posted on InfoTrellis blog: Deterministic Matching versus Probabilistic Matching Which is better, Deterministic Matching or Probabilistic Matching? I am not promising to give you an answer.  But through this article, I would like to share some of my hands-on experiences that may give some insights to help you make an informed decision in regards…

  • Data Governance: Striking the Balance Between Control and Innovation

    Striking the right balance between control and innovation is essential to maximize the value of data while fostering an environment that encourages creativity and business growth. By embracing an enablement-oriented approach, data governance can be a catalyst for positive change within organizations.

  • Survey shows that Data Quality needs attention

    Data quality matters as 55% of respondents emphasize its relevance for Big Data projects. Learn why data quality metrics and expertise are crucial to address declining perceived quality levels.

  • Data Governance trumps Big Data – lessons to learn from the NSA

    Learn how data governance triumphs over big data in the case of Edward Snowden’s escape from Hong Kong. Discover how simple data quality errors in the extradition request allowed Snowden to evade capture. Find out why accurate data management is essential, even for organizations at the forefront of Big Data analytics