IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Precisely

JANUARY 17, 2023

For most enterprises, 2022 was a year of transition, as companies struggled to figure out how to accomplish more with fewer resources. Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Tableau

APRIL 18, 2022

April 19, 2022 - 12:16am. April 19, 2022. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather?

Tableau 102

Tableau Data Quality Analytics Analytics 102

Tableau

APRIL 18, 2022

April 19, 2022 - 12:16am. April 19, 2022. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. What if the problem isn’t in the volume of data, but rather where it is located—and how hard it is to gather?

Tableau 98

Tableau Data Quality Analytics Analytics 98

Dataversity

FEBRUARY 11, 2022

Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions. A recent Data in Context research study found that more than 95% of organizations suffer from a data decision […].

Data Silos 52

Data Silos Data Quality Data Governance 52

Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor. That approach assumes that good data quality will be self-sustaining.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Precisely

JANUARY 23, 2024

Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.” In a separate survey conducted in 2022, for example, S&P Global Market Intelligence found that fewer than one-quarter of respondents said nearly all strategic decisions are data-driven within their companies.

Data Governance 69

Data Governance Data Quality Analytics Analytics 69