home.social

#bigdataanalytics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #bigdataanalytics, aggregated by home.social.

  1. #DataRigour is mandatory for financial integrity.

    ​Our Audit found a P2 risk: Volatile Sales Rebates causing unreliable financial outcomes. This is a common failure of enterprise data strategy.

    ​The fix? Extreme Data Rigor via big data analytics for precision forecasting on variable estimates. Don't let shaky data compromise your bottom line.

    ​Get your Data Vulnerability Audit ($5,000 USD).

    datatofu.wordpress.com/service

    #FinancialData #DataGovernance #BigDataAnalytics

  2. #DataRigour is mandatory for financial integrity.

    ​Our Audit found a P2 risk: Volatile Sales Rebates causing unreliable financial outcomes. This is a common failure of enterprise data strategy.

    ​The fix? Extreme Data Rigor via big data analytics for precision forecasting on variable estimates. Don't let shaky data compromise your bottom line.

    ​Get your Data Vulnerability Audit ($5,000 USD).

    datatofu.wordpress.com/service

    #FinancialData #DataGovernance #BigDataAnalytics

  3. Stop spending billions on reactive data fixes. 💸

    ​The SAP OPM engagement showed the strategic error of investing in a flawed system. Shift to a proactive system built on:
    1. Unified Data Semantics (single source of truth).
    2. Integrated Automation ("governance-as-code").

    ​Unlock your share of the trillions in projected long-term data value.

    #DataStrategy #ROI #BigDataAnalytics #BusinessIntelligence #ShaolinDataScience

  4. Stop spending billions on reactive data fixes. 💸

    ​The SAP OPM engagement showed the strategic error of investing in a flawed system. Shift to a proactive system built on:
    1. Unified Data Semantics (single source of truth).
    2. Integrated Automation ("governance-as-code").

    ​Unlock your share of the trillions in projected long-term data value.

    #DataStrategy #ROI #BigDataAnalytics #BusinessIntelligence #ShaolinDataScience

  5. K Means Clustering Algorithm – Solved Numerical Example Big Data Analytics Tutorial by Mahesh Huddar

    K Means Clustering Algorithm - Solved Numerical Example - Big Data Analytics Tutorial #BigDataAnalytics ... source

    quadexcel.com/wp/k-means-clust

  6. K Means Clustering Algorithm – Solved Numerical Example Big Data Analytics Tutorial by Mahesh Huddar

    K Means Clustering Algorithm - Solved Numerical Example - Big Data Analytics Tutorial #BigDataAnalytics ... source

    quadexcel.com/wp/k-means-clust

  7. Right. #ai and #bigdataanalytics are still relatively new, so they will not be right for everyone.. tbh, more than 80% of companies still think that the only data you can ever collect is in a spreadsheet; not likely to understand this witchcraft (or its benefts)

    Thus descriptive, predictive, and prescriptive analytics, for insight mining and extraction, should be explained in terms of their analog equivalents instead

    datatofu.wordpress.com

    Tags: #rstats #python #datascience #opendata #linux

  8. Right. #ai and #bigdataanalytics are still relatively new, so they will not be right for everyone.. tbh, more than 80% of companies still think that the only data you can ever collect is in a spreadsheet; not likely to understand this witchcraft (or its benefts)

    Thus descriptive, predictive, and prescriptive analytics, for insight mining and extraction, should be explained in terms of their analog equivalents instead

    datatofu.wordpress.com

    Tags: #rstats #python #datascience #opendata #linux

  9. Right. #ai and #bigdataanalytics are still relatively new, so they will not be right for everyone.. tbh, more than 80% of companies still think that the only data you can ever collect is in a spreadsheet; not likely to understand this witchcraft (or its benefts)

    Thus descriptive, predictive, and prescriptive analytics, for insight mining and extraction, should be explained in terms of their analog equivalents instead

    datatofu.wordpress.com

    Tags: #rstats #python #datascience #opendata #linux

  10. Right. #ai and #bigdataanalytics are still relatively new, so they will not be right for everyone.. tbh, more than 80% of companies still think that the only data you can ever collect is in a spreadsheet; not likely to understand this witchcraft (or its benefts)

    Thus descriptive, predictive, and prescriptive analytics, for insight mining and extraction, should be explained in terms of their analog equivalents instead

    datatofu.wordpress.com

    Tags: #rstats #python #datascience #opendata #linux