bridgei2i

MAY 18, 2020

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. This figure represents how strategy and finance teams might be working hand-in-glove with other business functions to predict how the situations will evolve and impact revenue, which thereby impacts Opex. For Existing Customers.

B2B 52

B2B Sales ROI Marketing 52

CIO Business Intelligence

MARCH 29, 2022

And the problem is not just a matter of too many copies of data. Approximately duplicated data sets may introduce uncertainty about data quality. Near duplicates immediately raise the question of which is authoritative and why there are differences, and that leads to mistrust about data quality. .

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

datapine

MAY 31, 2022

We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. Instead, ad-hoc strategies sprouted, fueled by several components.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

JUNE 22, 2023

Labor arbitrage, or outsourcing labor to the lowest-cost workforce, has been the central strategy associated with business process outsourcing (BPO) for years. It often meant sourcing customer support, information technology and other office operations from countries with lower costs of labor.

Consulting 84

Consulting Insurance Finance Uncertainty 84

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. Using data, user research and human-centered design to effectively address these considerations can help you develop a clear modernization strategy that objectively drives your priorities, backlogs and roadmaps.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

Jet Global

MARCH 13, 2020

Interpreting what they mean involves putting them in the context of the company’s past performance, competitive climate, or current strategy, for instance. In a Deloitte survey, 67 percent of the 1,048 executives who participated said they were uncomfortable accessing data using the tools they have available.

Finance 64

Finance Snapshot Reporting Advertising 64

Domino Data Lab

JUNE 23, 2019

The person who sets strategy, defines the rules of the market game you’re playing, and they work together with all these different teams and functions within the business to prioritize projects and execute on a roadmap to deliver those. One of the most important jobs of PMs is to collect the right data at the right time.

Management 110

Management Machine Learning Experimentation Metrics 110

Jen Stirrup

NOVEMBER 15, 2022

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How is it possible to enable data-driven decisions in a systems thinking approach?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Cloudera

OCTOBER 8, 2020

It’s not enough to bolt technology onto an existing strategy and consider it transformed. Businesses are now faced with more data, and from more sources, than ever before. But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 trillion a year.

Digital Transformation 101

Digital Transformation Experimentation Unstructured Data Uncertainty 101