CIO Business Intelligence

JUNE 8, 2023

s senior vice president and CIO, Anu Khare leads the specialty truck maker’s intelligent enterprise agenda, which includes data science and artificial intelligence practice, digital manufacturing, cybersecurity, and technology shared services to drive technology-enabled business transformation.

Manufacturing 85

Manufacturing Digital Transformation Strategy Sales 85

Cloudera

JANUARY 30, 2024

While AI stands to drive smart intelligent factories, optimize production processes, enable predictive maintenance and pattern analysis, personalization, sentiment analysis, knowledge management, as well as detect abnormalities, and many other use cases, without a robust data management strategy, the road to effective AI is an uphill battle.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. Create a CXO-driven data strategy.

Digital Transformation 116

Digital Transformation Strategy Data-driven Data Strategy 116

Cloudera

AUGUST 6, 2021

We have increasingly moved purchases online in recent years fueled by the COVID-19 pandemic and general trends in Digital Transformation. Strategy and culture are core components of a data driven organization . Like most labels, “data-driven” is not a binary, black and white measure of capability. Data Strategy.

Data-driven 104

Data-driven B2B Data Strategy Strategy 104

CIO Business Intelligence

MARCH 11, 2022

Manufacturing is creating large volumes of data at the edge, which is yet another silo not easily available to the greater organization to inform business insights and initiate data-first decision-making. For a company to get to the desired outcomes, they need quicker access, not just to the data but to the insights from that data.”.

Digital Transformation 76

Digital Transformation Data Strategy Enterprise Risk 76

Anmut

MARCH 22, 2023

As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. This stage is typical for organisations that are just starting to develop their data strategy. Data lineage is understood, but only partially mapped. What is your data worth?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Sisense

DECEMBER 23, 2019

Once your data is prepared for analysis, the next question is: how else can AI help you? There’s a belief held by many in the AI and analytics worlds that the Holy Grail of data strategy is the ability to turn every question the business could ask (strategic, tactical, and operational) into requirements that an AI system can understand.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

Data Science 101

NOVEMBER 20, 2019

Big data and analytics run on the top priority list for all the organizations in the current era as the majority of the work happens on the data dashboards, reports, KPIs and visualizations. Analytics and Data Science are becoming key dimensions when it comes to considering any digital transformation initiative.

Big Data 103

Big Data Data Strategy Strategy Cost-Benefit 103

Sisense

JUNE 25, 2020

The right use of data changes everything. Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. Its comprehensive data-driven strategy will be key to enabling this future. “We

Big Data 98

Big Data Data-driven IoT Marketing 98

Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. Full circle data experience: achieved. Like any other data project, it won’t be instantly clear what your data model should look like. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 115

Strategy Data Science Marketing Unstructured Data 115

bridgei2i

APRIL 28, 2020

My name is Aruna Babu and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology and user needs. And so that process with curation or identifying which data potentially is a leading indicator and then test those leading indicators. Aruna: Got it.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

CIO Business Intelligence

MARCH 31, 2022

While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO. Strategy& defines a CDO as “a single person at C-suite level or one level below, with responsibility for the company’s strategic approach to data.”

Consulting 131

Consulting Strategy Data Strategy Data Governance 131

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC). Applications of AI.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. ISL is a crucial factor to empower digital transformation and decrease the threat of disruption.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. Before ML can become a catalyst for change, it must first be treated as an integral part of your data strategy. It’s a pie-in-the-sky statement that sounds great, right? Step 8: Close the skills gap.

Machine Learning 97

Machine Learning Enterprise Experimentation Modeling 97

Sisense

FEBRUARY 24, 2021

In this article, we explore the role and responsibilities of the chief data officer and the challenges they are facing. The role of the chief data officer. Not all organizations are at the same point in their data journey. Data space dimension: Traditional data vs. big data.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Jen Stirrup

NOVEMBER 15, 2022

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How can systems thinking and data science solve digital transformation problems? A crucial aspect of digital transformation is to enable data-driven decisions.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145