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. Use of influence functions goes back to the 1970s in robust statistics. That seems much more robust.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Andrew White

JANUARY 9, 2022

We found anecdotal data that suggested things such as a) CDO’s with a business, more than a technical, background tend to be more effective or successful, and b) CDOs most often came from a business background, and c) those that were successful had a good chance at becoming CEO or CEO or some other CXO (but not really CIO).

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JUNE 23, 2019

All you need to know, for now, is that machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn based on data by being trained on past examples. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.

Management 110

Management Machine Learning Experimentation Metrics 110

Jet Global

MAY 15, 2020

Return on Investment (ROI) – This financial performance indicator measures the amount of money an investment has made relative to the cost of the investment. With data collection automated, data being stored in a central location, and ERP interface, a new financial report can be created instantly. Instant updates.

Metrics 98

Metrics Finance Reporting KPI 98

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization.

Analytics 118

Analytics Consulting Metrics Experimentation 118

DataKitchen

JUNE 24, 2021

Agility as a concept in business is really powerful and certainly deserves a place in every data and analytics team.”. DataOps Maximizes Your ROI. The panelists provided great advice for maximizing ROI with DataOps. . According to Zimmer, it’s hard to maximize ROI when you can’t measure it. “One Design for measurability.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Smart Data Collective

JULY 2, 2019

At Smart Data Collective, we strive to have a balanced conversation about the impact of big data. There are obviously a lot of beneficial changes that big data has spurred. However, big data has also created some important challenges as well, which we feel duty-bound to discuss.

Big Data 78

Big Data ROI Testing Statistics 78

Alation

SEPTEMBER 1, 2022

By definition, a data intelligence platform must serve a wide variety of user types and use cases – empowering them to collaborate in one shared space. The problem Data Intelligence Platforms solve. Why is a data intelligence platform needed in the first place? The solution?

Reporting 52

Reporting Metadata Data Governance Interactive 52

Jet Global

MAY 1, 2023

Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52