CIO Business Intelligence

NOVEMBER 18, 2022

Utilization and efficiency provide vital insights for understanding the business value of expenses incurred. Once in place, the organization can develop and assign a repeatable process that enables real-time decision-making to a center of excellence, steering committee, or governance structure, depending upon the organization.

Optimization 91

Optimization KPI Key Performance Indicator Cost-Benefit 91

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

Analytics 74

Analytics Cost-Benefit ROI Business Objectives 74

DataRobot Blog

AUGUST 18, 2022

Enabling AI in the supply chain empowers organizations to make decisions with confidence, adjust business practices quickly, and outpace the competition. The benefits of AI in supply chain provides data-driven insights that help supply chain and logistics organizations solve their hardest problems, drive success, and deliver real ROI.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

CIO Business Intelligence

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result?

IT 98

IT Data Science IoT Digital Transformation 98

CIO Business Intelligence

AUGUST 17, 2023

Its power and potential are so significant that governments across the globe are trying to figure out how to regulate it. This means being a proactive participant in your environment. In many ways, it hearkens back to another disruptive innovation that not only changed everything but spawned entirely new industries: the automobile.

Measurement 98

Measurement Risk Testing Technology 98

CIO Business Intelligence

FEBRUARY 22, 2023

For others such as Brian Ferris, chief data, analytics, and technology officer at loyalty, marketing, and data analytics consulting firm Loyalty NZ, leading IT abroad was about “gaining huge value in seeing different issues and learning different ways of approaching problems, something that can’t be learnt out of a book.”

IT 98

IT Technology Strategy Consulting 98

CIO Business Intelligence

JANUARY 8, 2024

To stay on top of both old and new challenges, IT chiefs should evaluate their current business and technology strategies and, when necessary, adjust them to address rapidly evolving technology, business, and economic practices. As a large enterprise, we have vast amounts of data from disparate sources,” she says.

Cost-Benefit 142

Cost-Benefit Digital Transformation Optimization Measurement 142

IBM Big Data Hub

APRIL 4, 2024

These include connecting different systems and software to streamline processes and improve data flow across the organization, for example human resource management (HRM) or customer relationship management (CRM) Human-centric BPM centers around human involvement, often where an approval process is required.

Management 62

Management Cost-Benefit Metrics Consulting 62

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

IBM Big Data Hub

MARCH 26, 2024

Businesses seeking to accelerate sustainability initiatives must take an integrated approach that brings together all business and technology functions. Embedding sustainability in practice Accountability is where an enterprise can ensure that sustainability is embedded and activated. It is not managed by a single department in a silo.

Measurement 70

Measurement Metrics Strategy Reporting 70

DataRobot Blog

MARCH 16, 2023

Why model-driven AI falls short of delivering value Teams that just focus model performance using model-centric and data-centric ML risk missing the big picture business context. This narrow focus can lead to accurate and true insights that are not really useful, leaving business stakeholders feeling frustrated.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307

Testing Machine Learning Consulting Data Quality 307

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

CIO Business Intelligence

JANUARY 31, 2023

But the recent acceleration of digital transformation across global industries and emergence of multi-cloud environments has introduced a new level of complexity. This is possible to achieve with an integrated platform that brings different domains of operations, costs, and automation on a single integrated data platform.

Digital Transformation 87

Digital Transformation Cost-Benefit Data-driven Optimization 87

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 platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 81

Machine Learning Manufacturing Cost-Benefit Deep Learning 81

IBM Big Data Hub

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. AI is already driving results for business. Watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

CIO Business Intelligence

JUNE 15, 2022

By housing our own data via the new order management system, we can also enable all sorts of applications both now and in the future,” says Stanbridge. This practice is instilling standards and discipline that will only help to ensure our environment remains uncluttered and contemporary for the long term,” Keshavan says.

IT 145

IT Digital Transformation Technology Strategy 145

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. The modern world is changing more and more quickly with each passing year. The solution? To keep abreast of current changes – at least at a level of basic understanding.

Technology 279

Technology Internet of Things IT IoT 279

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

CIO Business Intelligence

DECEMBER 12, 2023

We are working relentlessly to bring these generative AI use cases to our customers, including educating SAP employees on best practices and providing AI tools internally to accelerate generative AI embedded product development. Development will become even more democratized to anyone with great ideas and creativity.

Modeling 111

Modeling Enterprise Finance Sales 111

CIO Business Intelligence

JULY 6, 2023

The group was able to automate one process and then expanded the effort from there, according to Mark Austin, vice president of data science. Early on in its RPA initiative AT&T decided to combine the technology with data science to create smarter bots that leverage AI capabilities such as optical character recognition (OCR) and NLP.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52