CIO Business Intelligence

JANUARY 30, 2024

What companies need more than anything is good data for ESG reporting. That means ensuring ESG data is available, transparent, and actionable, says Ivneet Kaur, EVP and chief information technology officer at identity services provider Sterling. There are several things you need to report attached to that number.”

Reporting 100

Reporting Data Quality Strategy Data-driven 100

Cloudera

MAY 9, 2023

SoftBank aims to expand its data applicationss across a variety of industries by leveraging the huge volume of data collected from its broad user base. For this reason, we have come to recognize the need for a modern data architecture that enables us to align our data strategy with our business goals.

Data Lake 89

Data Lake IoT Data Governance Data Strategy 89

Cloudera

APRIL 19, 2023

With the vast amount of data collected from customers, transactions, and market movements, among other sources, this abundance offers tremendous potential for financial institutions to extract valuable insights that can inform business decisions, improve customer service, and create new revenue streams.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

IBM Big Data Hub

OCTOBER 16, 2023

This means expanding our perspective beyond the machine learning pipeline to recognize and investigate how this technology is both created within and impacts our society.” In practice, AI governance creates a set of policies, practices and frameworks to guide the responsible development and use of AI technologies.

Advertising 70

Advertising Machine Learning Data Architecture Cost-Benefit 70

CIO Business Intelligence

JANUARY 20, 2023

But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it. This is called data democratization. Security and compliance risks also loom.

Data Lake 126

Data Lake Data-driven Finance Data Architecture 126

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

Sisense

JULY 6, 2020

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling. Building a system for long-term success.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Cloudera

OCTOBER 11, 2022

The article goes on to share insights from experts at Gartner, PwC, John Deere, and Cloudera that shine a light on the critical role that data plays in scaling AI. . Julian Sanchez, director of emerging technology at John Deere hit the nail on the head, “the thing about AI is that it “looks like magic.

Snapshot 92

Snapshot Data Science Digital Transformation Metadata 92

IBM Big Data Hub

FEBRUARY 9, 2023

Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. Processes may be automated through tools, workflow, and technology.

Data Governance 77

Data Governance Business Objectives Strategy Data Quality 77

Ontotext

NOVEMBER 16, 2023

Figure 1 Shows the overall idea of a data mesh with the major components: What Is a Data Mesh and How Does It Work? Think of data mesh as an operational mode for organizations with a domain-driven, decentralized data architecture.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 122

Analytics Data Science Statistics Unstructured Data 122

AWS Big Data

NOVEMBER 15, 2023

Furthermore, it fetches essential metadata from BMW Group’s internal system, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications in the later stages of data transformation. Alex Gutfreund is Head of Product and Technology Integration at the BMW Group.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

TDAN

OCTOBER 1, 2019

We are in the digital age that Hollywood once fancied with sophisticated connected devices and technologies surfacing day after day. IoT has a lot more to offer than merely establishing connections between systems and devices.

IoT 40

IoT Internet of Things Technology Data Architecture 40

Andrew White

JANUARY 9, 2022

Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends. .

Analytics 64

Analytics Measurement Modeling Data-driven 64

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. And Manufacturing and Technology, both 11.6 It’s all about context. Financial Services represent 13.0

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52