In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Ad hoc query, data mining, information I’m still not finding.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist. Data Mining And Predictive Analytics On Web Data Works?

KPI 124

KPI Metrics Measurement ROI 124

FineReport

APRIL 20, 2020

It can integrate up to twelve formats of data sources, and create dynamic reports. . SAP acquired Crystal Reports in 2007. Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. All data is divided into strip-shaped models in Crystal Report.

Reporting 84

Reporting OLAP Dashboards Data mining 84

FineReport

APRIL 27, 2020

Crystal Report dapat mengintegrasi sampai dengan 12 format data source dan membuat laporan yang dinamis. SAP mengakuisisi Crystal Report di tahun 2007. Dibandingkan dengan software serupa lainnya, software-software ini dapat memperkirakan data karena teknologi analisis OLAP dan data mining-nya. Fragmen laporan.

Reporting 84

Reporting Dashboards Software OLAP 84

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

datapine

DECEMBER 28, 2021

With the COVID-19 pandemic, the general public was forced to consume scientific information in the form of data visualizations to stay informed about the current developments of the virus. Here they speak about two use-cases in which COVID-19 data was used in a misleading way. 3) Data fishing. But this didn’t come easy.

Statistics 363

Statistics Advertising Visualization Data mining 363