David Menninger's Analyst Perspectives

MARCH 29, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 135

Analytics IT Business Intelligence ROI 135

David Menninger's Analyst Perspectives

MARCH 15, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Business Intelligence 133

Business Intelligence ROI Marketing Analytics 133

David Menninger's Analyst Perspectives

MARCH 8, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 133

Analytics Business Intelligence ROI Marketing 133

David Menninger's Analyst Perspectives

APRIL 10, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Enterprise 130

Enterprise Business Intelligence ROI Marketing 130

David Menninger's Analyst Perspectives

FEBRUARY 20, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Business Intelligence 133

Business Intelligence ROI Marketing Analytics 133

KDnuggets

NOVEMBER 14, 2019

During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project to accurately assess its impact on the business.

ROI 56

ROI Data Science IT 56

David Menninger's Analyst Perspectives

MARCH 11, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Enterprise 119

Enterprise Business Intelligence ROI Marketing 119

CIO Business Intelligence

NOVEMBER 20, 2023

Take AVA, the AI-infused customer support bot that AirAsia introduced in 2019. Using generative AI as a part of the chatbot creation process is one of the most promising use cases at present, and certainly the least risky,” says Benedikt Schönhense, co-founder and head of data science at Springbok AI.

Interactive 130

Interactive Risk ROI Testing 130

David Menninger's Analyst Perspectives

FEBRUARY 15, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Business Intelligence 100

Business Intelligence ROI Marketing Analytics 100

David Menninger's Analyst Perspectives

APRIL 5, 2019

The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 92

Analytics IT Business Intelligence ROI 92

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. community detection ).

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Sisense

DECEMBER 3, 2019

In order to empower the world’s business, data, and product teams to drive digital transformation, we recently announced two major leaps forward for the Sisense Platform. With a single click, an ensemble of univariate forecast models run against your data. An AI algorithm selects the best model based on the type of data analyzed.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Decision Management Solutions

JUNE 25, 2019

She emphasized the importance to data science teams of business translation and of partnering with domain experts. It’s often hard to get domain expertise and data science skills in the same person – hence the need for translation. DecisionsFirst indeed! Finally, Shingai Manjengwa , CEO, Fireside Analytics Inc.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. In 2019, Netflix alone released 371 new TV shows and movies. ROI = Profit/Budget).

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. back to the structure of the dataset. Let’s look through some antidotes. How fast can the model be trained?

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

DataRobot

NOVEMBER 12, 2021

Your team already understands your business and your data. They want to work with AI and automation and are situated perfectly to improve your data science operations. In 2019, Beacon Street Services needed new data models to enable its marketing team to run more targeted and effective campaigns.

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98

Smarten

JUNE 15, 2022

If you want to improve results, ensure fact-based decisions, increase data literacy, improve productivity and collaboration and ensure great ROI and TCO (not to mention improving user adoption and user satisfaction), look for augmented analytics solutions with NLP AND context-driven search capability.

Analytics 52

Analytics ROI Data-driven Sales 52

Depict Data Studio

SEPTEMBER 17, 2019

Chris Lysy is a professional data designer and illustrator constantly exploring the overlap between contemporary design practice, digital communications, and data science. David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. Chris Lysy. Kylie Hutchinson.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 28, 2019

In the business landscape of 2019, data is the only currency that matters. The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85