Companies spend $2M on Salesforce migrations but see no improvement. The platform isn't the problem—dirty data that moved with it is. Here's how to diagnose it.

At GESIS, researchers work in various phases of their scientific careers: as student assistants, doctoral candidates, postdocs, senior researchers, team leaders, and department heads. The institute's goal is to provide its scientific staff with the best possible support in their various career phase

Over 70% of AI failures can be traced back to poor data annotation, highlighting the critical importance of precise, high-quality labeling. In sectors such as autonomous vehicles, healthcare diagnostics, and e-commerce personalization, the integrity of annotated data directly influences model performance, safety, and reliability. For these reasons, businesses are increasingly choosing to outsource data annotation […] The post Outsource Data Annotation Services: Driving Accuracy and Efficiency first appeared on Flowster.

African GDP and Population data are both of very poor quality. Governance is also rated as being very poor, with many autocratic rulers interfering with economic data quality. Only 9% of African countries are rated as having A or B grade GDP data. Only 4% applies for Population data. 15% are rated as having A or B grade Governance. And five of the top ten largest (by GDP) sub-Saharan countries are rated as having D or E grade data. In these circumstances World Economics believes pan-African GDP or Population size, or measures such as GDP per Capita or Debt per Capita that dependent on either GDP or Population data, should be treated with circumspection.

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African GDP and Population data are both of very poor quality. Governance is also rated as being very poor, with many autocratic rulers interfering with economic data quality. Only 9% of African countries are rated as having A or B grade GDP data. Only 4% applies for Population data. 15% are rated as having A or B grade Governance. And five of the top ten largest (by GDP) sub-Saharan countries are rated as having D or E grade data. In these circumstances World Economics believes pan-African GDP or Population size, or measures such as GDP per Capita or Debt per Capita that dependent on either GDP or Population data, should be treated with circumspection.

African GDP and Population data are both of very poor quality. Governance is also rated as being very poor, with many autocratic rulers interfering with economic data quality. Only 9% of African countries are rated as having A or B grade GDP data. Only 4% applies for Population data. 15% are rated as having A or B grade Governance. And five of the top ten largest (by GDP) sub-Saharan countries are rated as having D or E grade data. In these circumstances World Economics believes pan-African GDP or Population size, or measures such as GDP per Capita or Debt per Capita that dependent on either GDP or Population data, should be treated with circumspection.

The Worlds population is estimated by the United Nations Population Prospects database to have reached 8 billion people, and to be on target for 9 billion in 15 years, and 10 billion in 50 years-time.

African GDP and Population data are both of very poor quality. Governance is also rated as being very poor, with many autocratic rulers interfering with economic data quality. Only 9% of African countries are rated as having A or B grade GDP data. Only 4% applies for Population data. 15% are rated as having A or B grade Governance. And five of the top ten largest (by GDP) sub-Saharan countries are rated as having D or E grade data. In these circumstances World Economics believes pan-African GDP or Population size, or measures such as GDP per Capita or Debt per Capita that dependent on either GDP or Population data, should be treated with circumspection.

Data matching, linking, merging, cleansing, deduplication, consolidation and other data processing tasks on your business data, such as customer contact, real estate or product lists. Using powerful Q...

African GDP and Population data are both of very poor quality. Governance is also rated as being very poor, with many autocratic rulers interfering with economic data quality. Only 9% of African countries are rated as having A or B grade GDP data. Only 4% applies for Population data. 15% are rated as having A or B grade Governance. And five of the top ten largest (by GDP) sub-Saharan countries are rated as having D or E grade data. In these circumstances World Economics believes pan-African GDP or Population size, or measures such as GDP per Capita or Debt per Capita that dependent on either GDP or Population data, should be treated with circumspection.

African GDP and Population data are both of very poor quality. Governance is also rated as being very poor, with many autocratic rulers interfering with economic data quality. Only 9% of African countries are rated as having A or B grade GDP data. Only 4% applies for Population data. 15% are rated as having A or B grade Governance. And five of the top ten largest (by GDP) sub-Saharan countries are rated as having D or E grade data. In these circumstances World Economics believes pan-African GDP or Population size, or measures such as GDP per Capita or Debt per Capita that dependent on either GDP or Population data, should be treated with circumspection.

This first blog in our new two-part series reveals that effective SupTech begins with robust data systems. It draws on research by MSC and Cambridge and shows how poor data quality, weak standardizati...

Struggling with unreliable marketing data? Download our free MarTech Data Cleanliness & Reliability Checklist to fix data issues and improve reporting accuracy.

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