Remove Cost-Benefit Remove Data Integration Remove Data Quality Remove Reporting
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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Data architecture strategy for data quality

IBM Big Data Hub

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

The Third of Five Use Cases in Data Observability Data Evaluation: This involves evaluating and cleansing new datasets before being added to production. This process is critical as it ensures data quality from the onset. Examples include regular loading of CRM data and anomaly detection.

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO Business Intelligence

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. billion in 2022. MuleSoft, acquired by Salesforce in 2018 for $5.7

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

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Introducing The Five Pillars Of Data Journeys

DataKitchen

” – Gautama Buddha When your data team is in crisis from errors in production, complaining customers, and uncaring data providers, we all wish we could be unshaken as the Buddha. Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. They can break.

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