Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. For example, they can detect hidden relationships between entities, suggest suspicious transactions or identify investment strategies or opportunities.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

datapine

OCTOBER 7, 2020

They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. What are key metrics in this case enabling – is an environment that focuses on making the right decision at the right time since they will present the data, and help you derive insights.

KPI 269

KPI Metrics Sales Visualization 269

CIO Business Intelligence

JULY 5, 2022

NTT uses AI and predictive analytics on the digital-twin data to deliver fans insights that previously would only have been available to race team engineers, including race strategies and predictions, intercepts and battles for position, pit-stop performance impact, and effects of fuel levels and tire wear.

Recreation/Entertainment 92

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 92

CIO Business Intelligence

JULY 1, 2022

NTT uses AI and predictive analytics on the digital-twin data to deliver fans insights that previously would only have been available to race team engineers, including race strategies and predictions, intercepts and battles for position, pit-stop performance impact, and effects of fuel levels and tire wear.

Recreation/Entertainment 85

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 85

FineReport

JUNE 19, 2023

Operational reports have the potential to greatly enhance business performance through the utilization of data-driven insights. These reports offer a structured and comprehensible representation of data, enabling a clearer understanding of complex issues that might otherwise remain elusive. How To Create Operational Reports?

Operational Reporting 52

Operational Reporting Reporting Key Performance Indicator Dashboards 52

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

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

Cloudera

SEPTEMBER 12, 2018

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. The bank brought together 27 billion data points and uses AI to understand the next-best conversation 21 million times each weekday.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

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. By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. Watsonx, IBM’s next-generation AI platform, is designed to do just that.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

APRIL 4, 2024

Here are some BPM examples that outline the use cases and benefits of BPM methodology: Business strategy BPM serves as a strategic tool for aligning business processes with organizational goals and objectives. BPM uses workflow automation to automate repetitive tasks such as data entry, reconciliation and report generation.

Management 54

Management Cost-Benefit Metrics Consulting 54

IBM Big Data Hub

JANUARY 9, 2024

For example, a global retail chain might adopt region-specific AI models that are trained on data, such as customer preferences and cultural nuances. This approach results in highly personalized customer interactions. The flexibility and scalability of these API-driven solutions enabled the retailer to adapt rapidly to market changes.

Data-driven 100

Data-driven Risk Modeling Marketing 100