Sisense

JANUARY 13, 2020

Analyzing data from disparate sources to identify relationships between processes, causes, and effects is part of what helps a business hone its product development strategy, manufacturing processes, the marketing and sales of those products, and the logistics of supply chain and delivery. Making the changes work for manufacturing.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

IBM Big Data Hub

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Building a successful hybrid cloud strategy Every organization must contend with its own infrastructure, distinct workloads, business processes and workflow needs.

Strategy 95

Strategy Cost-Benefit Digital Transformation Optimization 95

Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data analytics: solutions to the industry challenges. Big data storage. Conclusion.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

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 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 104

Data-driven Digital Transformation Risk Risk Management 104

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 1) Improving The Decision-Making Process.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Data science approaches. Data and analytics strategy.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Scott outlined how this change has driven a shift in the role of data teams , who now occupy strategic business positions.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

IBM Big Data Hub

OCTOBER 20, 2023

Additionally, it’s crucial to consider the deployment and usage strategy for your AI platform. Key AI solutions that directly address these challenges include the following: Predictive Maintenance: AI helps manufacturers detect equipment issues through sensor data, enabling proactive maintenance and cost savings.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. What is Business Intelligence?

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

Smart Data Collective

MARCH 22, 2023

And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends. Industries like maritime have conventionally utilized enterprise resource planning (ERP) and other dispersed storage systems to utilize data.

Big Data 90

Big Data Advertising Data-driven Data Science 90

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 20, 2020

Enterprises are waking up to this fact and turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.[2]. 2] The Forrester Wave: Machine Data Learning Catalogs, Q2 2018. [3]

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. For example, retail companies can monitor sales transactions as they occur to optimize inventory management and pricing strategies.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52