IBM Big Data Hub

APRIL 20, 2023

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. This technology-driven process visualization is revolutionizing the way we look at processes.

KPI 69

KPI Consulting Finance Enterprise 69

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 135

Data mining Data-driven Statistics OLAP 135

IBM Big Data Hub

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room.

Consulting 83

Consulting Marketing Sales Data Processing 83

CIO Business Intelligence

JANUARY 9, 2023

Economic uncertainty Organizations are concerned about multiple economic forces that are all causing uncertainty, says Srinivas Mukkamala, chief product officer at Ivanti. How do you future-proof your business in the face of so much uncertainty?

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

CIO Business Intelligence

DECEMBER 4, 2023

I use the word “content” rather than “data” here deliberately. All AI thrives on data, but generative AI applications can readily be built against the documents, emails, meeting transcripts, and other content that knowledge workers produce as a matter of course. Here’s a more detailed explanation of the importance of RAG.)

Uncertainty 81

Uncertainty Strategy Data-driven Consulting 81

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Would your job still be there in a year? Executive Summary. Demographics.

Machine Learning 362

Machine Learning Statistics Reporting Consulting 362

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . CIOs need to understand the data behind the success or failure of technology,” Chandarana says.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

CIO Business Intelligence

JANUARY 20, 2023

By: Cathy Won, Consultant with eTeam, HPE Aruba Contributor. Given the many uncertainties and lessons learned from the pandemic, the one inevitable thing is change. The Future of Work and the Workplace is a 2023 Leesman survey report co-authored by HPE Aruba. What is the future of work and the workplace? How must organizations adapt?

Uncertainty 81

Uncertainty Reporting Consulting Data-driven 81

erwin

AUGUST 13, 2020

Compliance and Legislation : How do we manage uncertainty around legislative change (e.g., data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

erwin

DECEMBER 10, 2020

However, data is central to our mission, and data is the key to sound decision-making. The companies that come out of this historic period of global uncertainty and change will be those that take an intelligent, data-driven approach to business. At the heart of these medical breakthroughs is data.

Manufacturing 134

Manufacturing Uncertainty Data-driven Consulting 134

Smart Data Collective

AUGUST 9, 2021

Big data is becoming increasingly important in the cybersecurity profession. A number of IT security professionals are using big data and AI technology to create more robust cybersecurity solutions. As cybersecurity threats become more serious, the demand for data-savvy cybersecurity experts will continue to rise.

Big Data 126

Big Data Consulting Uncertainty IoT 126

CIO Business Intelligence

JULY 11, 2023

I’ve worked alongside several McKinsey teams, and, at their best, senior consultants are excellent thought partners—even outside of a paid project—because they themselves are invested in the same sorts of issues you care about as an executive. I can be inspired by that. It’s probably something that you and your colleagues understand well.

Strategy 73

Strategy Uncertainty Data-driven Consulting 73

CIO Business Intelligence

NOVEMBER 17, 2022

In particular, throughout her 20-year career, Drake has often been chastised for being too friendly, an unfamiliar quality perhaps in a results-driven business world. “A Drake says THG has built the platform in four of its data centres so far, allowing developers to build new platforms on ICE, and migrate existing THG workloads onto it.

Technology 92

Technology Consulting Uncertainty Data Processing 92

CIO Business Intelligence

MAY 17, 2024

Requisite agility: Managing change and uncertainty — the largest factors in determining the outcome of projects today and likely well into the future. A s uccess-driven mindset : Effective project managers believe in their work, and are fully vested in seeing a project through, and even to post-production success.

Management 103

Management Consulting Uncertainty Strategy 103

Sisense

APRIL 6, 2020

Today, every industry is data-driven. In The Data Behind , we dig into the data creating change in rapidly evolving industries. This month, we cover the role that data will play for supermarkets in the face of the COVID-19 pandemic. Consumers around the world are rushing their local supermarkets.

Analytics 98

Analytics Dashboards KPI Data-driven 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

JUNE 22, 2022

Next, we need a vision-driven framework at the national level to pinpoint the right direction and motivate the whole country to fight together for our vision. According to a joint forecast by the Office of the National Digital Economy and Society Commission (ONDE), TIME Consulting, and Huawei, the 5G-empowered economy will reach THB2.3

Digital Transformation 88

Digital Transformation Uncertainty Data-driven Manufacturing 88

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

CIO Business Intelligence

AUGUST 7, 2023

You have to truly understand how systems are used, how data is entered into systems, and how it’s manipulated in order to make decisions. The effort resulted in an enterprise data platform used to track users wherever they are in the product lifecycle. You can’t be an ivory tower architect,” he explains.

IT 90

IT Sales Manufacturing Cost-Benefit 90

CIO Business Intelligence

JULY 31, 2023

To allow or not According to various news reports, some big-name companies initially blocked generative AI tools such as ChatGPT for various reasons, including concerns about protecting proprietary data. 1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US.

Strategy 97

Strategy Risk Enterprise Risk Management 97

Sisense

JUNE 24, 2020

Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Is your analytic app a product or service?

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CDW Research Hub

OCTOBER 19, 2021

billion 1 , leveraging its services-led approach, broad portfolio of hybrid infrastructure solutions, and the deep technical expertise of its 2,600 coworkers to support corporate and public customers and serve as a consultative solutions partner across the full ecosystem of leading and emerging vendors.

Uncertainty 102

Uncertainty Sales Finance Cost-Benefit 102

CIO Business Intelligence

JUNE 22, 2022

Drive insight with data-driven visualization. In the process of trying to better understand our customers and their needs, we collect a lot of data about them. The privacy of customers is very important and therefore we need to ensure that all data is well protected. Start with a transformative vision.

Digital Transformation 100

Digital Transformation Visualization Technology Marketing 100

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

O'Reilly on Data

OCTOBER 13, 2020

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

Management 240

Management Metrics Machine Learning Modeling 240

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. Their head is like can we augment data from other data sources that can give us a glimpse into the future. Vignesh C V – Director & Digital Consulting Practice Lead. These are strange times.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Darkhorse

MARCH 31, 2015

They’re ready to transform your organization into a data-driven decision-making juggernaut. Add to these all of the decisions that they could be making (but aren’t) because of uncertainty or laziness. We’ll do so by eliminating those with high risk in data inputs, research, and implementation. Now data can be a killer.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

bridgei2i

JUNE 2, 2020

Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. My name is Melita Menezes, and I’m a consultant at BRIDGEi2i. He has extensive experience in designing solutions for clients using advanced ML techniques to harness information from different forms of data.

Risk Management 128

Risk Management Risk Enterprise Management 128

bridgei2i

SEPTEMBER 16, 2020

This current phase has ensured that we all adapt to a technology-driven way of learning, working, and interacting with one another. So how do you think businesses are dealing with this uncertainty? So that brings us to the other aspect of it, which is data and data has become more important than ever before. Where is it?

Digital Transformation 98

Digital Transformation Enterprise Sales Forecasting 98

Jet Global

MAY 24, 2022

Businesses around the globe are struggling to do more with less as budgets tighten, uncertainty looms, and talented workers can be scarce. Companies are generating more data than ever before, and it’s falling on the finance team to make sense of the meaning behind all those numbers. Data silos require a lot of extra work.

Finance 52

Finance Reporting Sales Software 52

Jet Global

JANUARY 31, 2022

Three of the most important of these are: cloud migration, data standardization, and interoperability. In the case of data standardization, silos of information held by different teams are being replaced by single common datasets that underpin every process and are updated in real-time. Transfer Pricing at an Inflexion Point.

Finance 52

Finance Technology Recreation/Entertainment Reporting 52

Jet Global

OCTOBER 4, 2021

More than ever before, business leaders recognize that top-performing organizations are driven by data. In a fast-moving world where virtually every business is struggling to meet customer demand amid supply-chain uncertainty, rapid delivery times are more important than ever. On-Time Delivery.

Management 96

Management KPI Metrics Recreation/Entertainment 96

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. And there is no time to consult with a specialist. Data, analytics and AI. This is not an option.

Software 52

Software Uncertainty Measurement Marketing 52

Jet Global

APRIL 29, 2021

Amid the uncertainty arising from the COVID-19 crisis, many business leaders sought to understand the potential impact of customer credit defaults and limited liquidity on their future cash flows. Many companies are incorporating more non-financial data into the planning process as well. Trend #4: Near-Real-Time Access to Information.

Forecasting 52

Forecasting Recreation/Entertainment Finance Software 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109