Smart Data Collective

AUGUST 18, 2021

When applied to the hiring process, data analytics can help you strategically grow and manage your team with greater accuracy and success. More companies are using big data to create a stronger company culture. Moreover, big data can also improve talent retention by 56% and better clarify skills gaps by 50%.

Data Science 139

Data Science Management Big Data Metrics 139

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

MARCH 14, 2022

Hubbard defines measurement as: “A quantitatively expressed reduction of uncertainty based on one or more observations.”. This acknowledges that the purpose of measurement is to reduce uncertainty. And the purpose of reducing uncertainty is to make better decisions. I call this point data saturation.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

CIO Business Intelligence

JUNE 7, 2024

The project, dubbed Farseer AI Generation Forecasting and Market Automation Program, was developed by a handful of AES data scientists in partnership with Google. As part of that partnership, Google operates AES’ private cloud platform in its data centers. we get the data to the commercial operations team.” Before 4 p.m.,

IT 128

IT Forecasting Machine Learning Modeling 128

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products?

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jedox

OCTOBER 8, 2020

We are currently operating in an environment with a very high (if not the highest ever) level of VUCA, (Volatility, Uncertainty, Complexity, Ambiguity). The way you mitigate uncertainty is with planning, planning, and more planning. Not to mention eventually leveraging the 70% – 80% of data that is considered “dark”.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Now, how do you use signals from a pre-COVID world to predict a post-COVID demand scenario? Their head is like can we augment data from other data sources that can give us a glimpse into the future.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Jet Global

APRIL 9, 2023

When you think about skills shortages, investing in data literacy isn’t the first action that comes to mind. Enabling your existing workforce to be more productive with data is key to increasing quality and speed of output. It is at this intersection of technology and skill that true data insights are generated.

Finance 52

Finance Forecasting Predictive Analytics Data-driven 52

Jet Global

NOVEMBER 8, 2021

It’s about adapting to a rapidly changing world, using data-driven insights to assess the situation, understand the alternatives in front of you, and take the action necessary to win in an increasingly competitive global marketplace. Finance transformation is ultimately about competitive advantage.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109