CIO Business Intelligence

JANUARY 17, 2024

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform.

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

Cloudera

AUGUST 8, 2022

Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects. Also, selecting the option to enable Iceberg analytic tables ensures the VC has the required libraries to interact with Iceberg tables. 8 2001 5967780. 1 2008 7009728. 2 2007 7453215. 3 2006 7141922.

Snapshot 89

Snapshot Data Warehouse Machine Learning Cost-Benefit 89

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. ” “Data science” was first used as an independent discipline in 2001. as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 107

Management Metadata Analytics Dashboards 107

Occam's Razor

APRIL 25, 2011

Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8. Web Analytics, 4Q, KissInsights, Insights for Search, AdPlanner, and all the other glorious free tools. Doing anything on the web without a Web Analytics Measurement Model. Life is a lot more complex (and sexy!).

Marketing 126

Marketing Measurement Metrics Testing 126

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Data visualization for prediction accuracy ( credit: R2D3 ). NASA persistently misspells Jupyter. That’s no problem.

Data Science 56

Data Science Machine Learning Reporting Visualization 56