Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

TDAN

APRIL 18, 2023

For the Enterprise Data Management Council (EDMC), I recently concluded a detailed comparison and mapping of the DMM to the DCAM with the Council’s Product Manager, employing the Soladatus modeling tool with its robust model mapping features. In this column, […]

Modeling 64

Modeling Management Enterprise IT 64

TDAN

DECEMBER 17, 2019

Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered. We haven’t achieved enough with data research and other statistical modeling techniques to be able to see data for what it truly is and even our methods of accruing data are rudimentary […].

Data Architecture 52

Data Architecture Statistics Modeling IT 52

CIO Business Intelligence

AUGUST 2, 2023

Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific? Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail.

Manufacturing 88

Manufacturing Data Architecture Strategy Data Strategy 88

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

Machine Learning 136

Machine Learning Cost-Benefit Data-driven Strategy 136

TDAN

JANUARY 3, 2023

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more than 225 NoSQL DBMSs listed on the NoSQL Database website alone and it just is not possible to review and understand every option. […].

Modeling 84

Modeling Data Architecture IT Data Strategy 84

TDAN

SEPTEMBER 17, 2019

I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling? Or do they have cognitive limitations?

Modeling 81

Modeling Data Architecture Data Strategy Strategy 81

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture ROI Data-driven 52

Cloudera

JUNE 7, 2022

We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . Where data flows, ideas follow. Today, we are leading the way in hybrid data. We can also do it with your preferred cloud – AWS, Azure or GCP.

IT 108

IT Data Architecture Unstructured Data Big Data 108

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture 89

Data Architecture Strategy Data Lake Data-driven 89

CIO Business Intelligence

JUNE 16, 2022

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. A real-time data technology stack has to shrink this innovation gap for the business. . Often, enterprise data ecosystems are built with a mindset that’s too narrow.

IT 124

IT Experimentation IoT Data-driven 124

CIO Business Intelligence

JUNE 23, 2022

We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . Where data flows, ideas follow. Today, we are leading the way in hybrid data. We can also do it with your preferred cloud – AWS, Azure or GCP.

IT 81

IT Data Architecture Unstructured Data Big Data 81

Cloudera

JANUARY 30, 2024

The universal industrial data challenge Data — as the foundation of trusted AI — can lead the way to transform business processes and help manufacturers innovate, define new business models, and establish new revenue streams. Develop a data strategy built on a robust data platform.

Manufacturing 78

Manufacturing Contextual Data IoT Digital Transformation 78

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams. Find out more about CDP for modern data architectures here.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

CIO Business Intelligence

MAY 2, 2022

Mason, highly skilled in using data to inform transformational changes in a business, will share insights about leading data projects as well as field questions in a live discussion with attendees. Travelers Senior Vice President and Chief Data and Analytics Officer Mano Mannoochahr will discuss creating a data-first culture.

Advertising 87

Advertising Data Governance Insurance Strategy 87

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it. Why is this interesting?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse. This enables data-driven decision-making across the organization.

Data-driven 93

Data-driven Data Lake Data Quality Data Governance 93

bridgei2i

JUNE 23, 2021

Here are some general functions which an AI Consulting Company will fulfill in your AI initiatives: Develop A Coordinated Data Strategy. An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation. The accuracy of input data helps to maintain the output quality.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy.

Digital Transformation 116

Digital Transformation Strategy Data-driven Data Strategy 116

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 80

Technology Data-driven Machine Learning Sales 80

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Use the data maturity assessment output to decide which data assets look like they need urgent attention and resource to amend, this will inform your data strategy.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

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. Don’t try to do everything at once!

Data Governance 80

Data Governance Business Objectives Strategy Data Quality 80

Peter James Thomas

MAY 3, 2019

The objective here is to use a variety of techniques to tease out findings from available data (both internal and external) that go beyond the explicit purpose for which it was captured. Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Peter James Thomas

MARCH 9, 2020

In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. However, in this initial article, I wanted to to focus on one tool that I have used as part of my Data Strategy engagements; a Data Maturity Model.

Measurement 67

Measurement Strategy Data Strategy Modeling 67

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

Cloudera

AUGUST 22, 2021

And yet I know that cloud adoption, particularly a hybrid multi-cloud model, is the way forward in navigating headwinds like global supply chain disruptions, Covid lockdowns and giving businesses a competitive edge to propel them to unimagined levels. There also needs to be a cloud-first strategy that should have buy-in from upper management.

Cost-Benefit 103

Cost-Benefit Strategy IoT Digital Transformation 103

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. TDAN stands for The Data Administration Newsletter. It is published by Robert S.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

TDAN

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

Big Data 145

Big Data Enterprise Modeling Data Architecture 145

TDAN

JUNE 1, 2021

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. This is harder than it sounds.

Enterprise 98

Enterprise Modeling IT Data Architecture 98

BizAcuity

MAY 24, 2022

Without a well-thought of data strategy and framework in place, the cloud strategy could prove to be more expensive than it has to be. To try and test the platforms in accordance with data strategy and governance. Cloud-first strategy is much more cost-effective than on-premise undertakings. No pun intended.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

AWS Big Data

APRIL 26, 2023

Enables a hub-and-spoke model for Data Access in multiple AWS accounts in a data mesh fashion. The AWS Data Lab Resident Architect program provides AWS customers with guidance in refining and executing their data strategy and solutions roadmap.

Metadata 52

Metadata Dashboards Visualization Consulting 52

TDAN

AUGUST 1, 2023

I’m sure you’ve heard about things like natural language processing, machine learning, and large language models such as those used by ChatGPT and Google Bard. […]

Machine Learning 52

Machine Learning Modeling Data Architecture IT 52