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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. More generally, low-quality data can impact productivity, bottom line, and overall ROI. With a shocking 2.5

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Self-Service Data’s New Frontier: The Data Catalog

Alation

Rita Sallam Introduces the Data Prep Rodeo. Which brings me to memorable moment #2 on Tuesday when Rita Sallam took the stage for her drill-down presentation on Self-Service Data Prep. The data prep market has exploded over the last year with Rita mentioning that she was tracking 50 vendors in the space.

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Data Landscape – Navigating The Data Jungle

Anmut

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

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Supercharging Your Digital Transformation with Embedded Analytics

Sisense

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses.

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Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. MMM allows you to isolate incremental sales contributions coming from each of the marketing channels. When can you give us the ROI?”. What is MMM?

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How Treating Data As An Asset Benefits Your Business

Anmut

Here’s an example: Your customer data set , sales history data set , and service records are all collections of useful data elements. If you replace ‘asset’ with ‘data asset’ in the previous sentence, the notion of treating data as an asset makes perfect sense. Data transformation is a marathon, not a sprint.

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NEW: Octopai Announces Support of Microsoft Azure Data Factory

Octopai

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever. About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market.