Sisense

OCTOBER 6, 2020

These techniques allow you to: See trends and relationships among factors so you can identify operational areas that can be optimized Compare your data against hypotheses and assumptions to show how decisions might affect your organization Anticipate risk and uncertainty via mathematically modeling.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

SEPTEMBER 12, 2018

Last night we kicked it off with the sixth annual Data Impact Awards Celebration. These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and community across a wide variety of industries.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested.

Analytics 143

Analytics Machine Learning Insurance Testing 143

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable. Need their analytics to scale reliably with their app or software.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion in value.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape. C-level executives and professionals alike must learn to speak a new language - data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

FineReport

APRIL 24, 2024

Lastly, considering future scalability and advancements in technology is essential when choosing a visualization tool. Opting for tools that offer flexibility in adapting to evolving analytical needs ensures long-term relevance and sustainability in addressing changing business requirements.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Andrew White

JANUARY 11, 2021

So the material is not designed for IT – but spans business and technology. The fill report is here: Leadership Vision for 2021: Data and Analytics. How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

NOVEMBER 7, 2023

Meanwhile, Robert Half recruitment data shows that nearly 90% of hiring managers are having a hard time finding skilled talent to join their finance teams. Generative AI, or GenAI, is still a new enough technology that CFOs are curious but noncommittal.

Finance 52

Finance Uncertainty Reporting Marketing 52