datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

MAY 1, 2020

For 22% of finance functions analytics is merely “routine”, revolving around standardised ERP reporting with little effort to mine its analytic potential. The same reports are generated at the end of each month with little if any collaboration between business functions.

Finance 78

Finance Analytics Forecasting Reporting 78

Jet Global

NOVEMBER 8, 2021

Earlier this year, Deloitte released a report entitled Finance 2025 Revisited in which analysts reviewed their predictions from 2018, assessed progress to date, and outlined their new predictions as they look ahead to the year 2025. For the businesses in which they work, finance transformation is equally vital.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

BizAcuity

MARCH 8, 2019

Workforce analytics is helping Human Resource leaders in determining the capabilities of the people or employees such as which tasks best suits them, how to ensure they remain satisfied with or in their roles. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment. Automation of manager experience.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Smart Data Collective

AUGUST 9, 2022

A 2018 report by UNESCO shows that AI technology is transforming the continent and Djibouti is among the countries benefiting. Predictive analytics tools have made it easier for traders to spot trends that would otherwise be missed. bitFinance is just one of many Bitcoin exchanges operating in Djibouti.

Technology 109

Technology Cost-Benefit Marketing Predictive Analytics 109

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Key features include scalable compute, environment management, auditability, knowledge management, and reproducibility. They have a forthcoming report on automation-focused platforms this year. Reflections.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Who sold the most fruit juice in Phonix, Arizona in Christmas of 2018?

Data-driven 67

Data-driven Sales Metrics Testing 67

Decision Management Solutions

NOVEMBER 19, 2020

by James Taylor, CEO, Decision Management Solutions. A 2018 McKinsey global survey shows that 47% of organizations say they have “embedded at least one [AI capability] into their standard business processes, while another 30% report piloting the use of AI.”.

IT 52

IT Modeling Insurance Data-driven 52

Smarten

JANUARY 24, 2019

AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

JUNE 15, 2022

But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision. Ask a question about a point in time without the need for specific dates: How many silk blouses were sold during Christmas season in 2016 vs. 2018?

Analytics 52

Analytics ROI Data-driven Sales 52

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Occam's Razor

JANUARY 8, 2018

Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. I revisited "Manage Your Subscription," to make the next best choice: "Adjust auto-renewal."

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Domino Data Lab

JULY 22, 2019

It involved a lot of interesting work on something new that was data management. I recently did “ Fifty Years of Data Management and Beyond ” which looks at roughly the same time period. Predictive analytics, yeah, not so much.” But the point there was what was emerging was interdisciplinary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 142

Analytics Machine Learning Insurance Testing 142

Smart Data Collective

JANUARY 14, 2021

The FBI reports that almost $1.2 billion worth of losses are attributed to malware and cyberattacks coordinated through emails in 2018. Predictive analytics models design to fight email-related cyberattacks have evolved considerably. Assisting with internal contact list management.

Big Data 102

Big Data Machine Learning Data-driven Predictive Analytics 102

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Data access management Both data privacy and security require an organization to have appropriate data access controls in place.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smart Data Collective

JUNE 30, 2023

Most of our discussions have centered around the use of AI in major financial institutions such as insurance companies, hedge fund management firms and financial advisory groups. Understanding the impact of your financial decisions and being proactive about managing your money can make all the difference in the long run.

Insurance 81

Insurance Finance Cost-Benefit Strategy 81

CIO Business Intelligence

JUNE 5, 2024

Streamlining teamwork As a result of the Statcast revolution, the Rangers’ analytics team started to transform, and Booth was the fifth person on it when he joined the Rangers in 2018. We wanted to understand exactly how to manage their workloads.” This has gone hand-in-hand with our amateur scouting department too.”

Optimization 97

Optimization Predictive Modeling Data-driven Modeling 97