BizAcuity

FEBRUARY 8, 2019

Analyzing raw data, data mining, analytical processing, querying and reporting – these are some of the many things that business intelligence lets an organization achieve. trillion – from their competitors that are still banking on data to make and enforce business decisions.

Business Intelligence 69

Business Intelligence Data mining Data-driven Software 69

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. In my company StatWeather we use this kind of data and data mining to forecast weather and climate patterns, which has been very successful.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Occam's Razor

SEPTEMBER 15, 2014

Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big data mining thrown in for good measure. If for any reason you don't want to use the custom mobile app analytics feature in Google Analytics, you also have other options.

Metrics 143

Metrics Reporting Analytics Marketing 143

The Unofficial Google Data Science Blog

JULY 22, 2020

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2017. [4] "Practical guide to controlled experiments on the web: listen to your customers not to the hippo."

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

The Unofficial Google Data Science Blog

APRIL 23, 2024

arXiv: Optimization and Control, 2017. [12] Estimating Uncertainty for Massive Data Streams. Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM ’13, page 123–132, New York, 2013. [28]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 1, 2021

Instead, you should focus on how techniques like PDPs and LIME can be used to gain insights into the model’s inner workings and how you can add those to your data science toolbox. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. References. Explainable planning.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

Accordingly, predictive and prescriptive analytics are by far the most discussed business analytics trends among the BI professionals, especially since big data is becoming the main focus of analytics processes that are being leveraged not just by big enterprises, but small and medium-sized businesses alike. BN by 2023, with a CAGR of 13.6%

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

Data catalogs then integrate compliance at the point of consumption, so people are alerted to sensitive data where it lives. Source: “What’s Your Data Strategy?” HBR Review May/June 2017. Data Intelligence and Metadata. Data intelligence is fueled by metadata. by Leandro DalleMule and Thomas H.

Metadata 64

Metadata Data Governance Dashboards Software 64