Datameer Blog

Tag: Data Collaboration

data completeness

The Role of Data Completeness in Assuring Overall Data Quality

In its early days, the term data quality was often associated with how “clean” or “dirty” a dataset was.  Quality was measured by how many erroneous, wrongly formatted, or missing values were in a dataset.  A major component of data preparation was data cleansing to improve data quality. Over time, the definition of data quality […]

  • John Morrell
  • May 26, 2021

What Creates Trust in Data Analytics?

As the volume of data grows, and more insights are generated from this data, many organizations ask how to better trust analytics results. Because without that trust, business teams cannot be fully confident in becoming more data-driven and driving actions based on analytics. Creating a great culinary dish often boils down to two key aspects: […]

  • John Morrell
  • April 4, 2020
analytics knowledge management

Analytics Knowledge Management – Why does it matter?

In today’s world, business decision-making benefits from the availability of massive amounts of data and a wide range of analytical tools to derive insights from it. Tools and automated processes for capturing, storing, and preparing data to provide access to torrents of data that organizations can leverage to drive business decisions. However, the wealth of […]

  • Benoite Yver
  • February 21, 2020

Addressing Key Analytics Challenges

As the analytics market continues to evolve, we see many key analytics challenges that have emerged, showing essential needs among the analytics community. Let’s look closely at these analytics challenges and ways organizations can solve them. Breaking down data siloes and delivering insights A recent IDC InfoBrief found that at companies identified as “Best-Run,” 68% of respondents […]

  • John Morrell
  • February 21, 2020

Big Data Analytics Challenges and Solutions

In the data-driven world, business intelligence is in high demand. 97.2 percent of companies today are investing in big data and AI to drive growth and development. Despite this, many organizations face big data analytics challenges and strategic, tactical level efficiency. According to Gartner, 87 percent of organizations have low BI and analytics maturity, meaning they’re […]

  • Justin Reynolds
  • February 3, 2020

How to increase your analytics team’s productivity by sharing and reusing data sets

Data is knowledge. And just like sharing knowledge, data sharing and reuse provides many benefits, including: Making the organization’s optimal problem-solving experiences reusable. Enabling better, faster decision-making. Stimulating innovation and growth. Reducing the loss of know-how within the analytics team(s). Data sharing and reuse encourages more connection and collaboration between analysts, resulting in important new […]

  • Adam Wealand
  • January 13, 2020

Instant Access To Our Free Library Of Resources

Discover the Top ETL and Data Integration Platforms


Featured Blog Posts

Five Critical Success Factors To Migrate Data to Snowflake
Five Critical Success Factors To Migrate Data t...

You’ve decided to modernize your data and analytics stack and migrate analytics workloads to the ...

  • John Morrell
  • May 10, 2021
ETL++: Reinvigorating the Data Integration Market

(This article first appeared on Medium on April 6, 2021.) The definition of “++” means incrementa...

  • John Morrell
  • April 12, 2021
Spectrum ETL
Disrupting the no-code cloud ELT market: Datame...

More than just loading Data: Datameer launches Datameer Spectrum ETL++ to disrupt the no-code clo...

  • Press Release
  • February 9, 2021