TDAN

SEPTEMBER 17, 2019

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time. It has been a major challenge for Chief Marketing Officers (CMOs) because it’s not easy to organize and extract useful insights from massive amounts of […].

Big Data 68

Big Data Marketing Data Architecture IT 68

TDAN

JUNE 15, 2022

In this article, I will go over […]. Qualities such as speed, scalability, how it responds in specific use cases, and the ability to integrate with third-party software are all important deciding factors.

Big Data 72

Big Data Software Data Architecture IT 72

Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

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

TDAN

MARCH 6, 2024

I read “How Big Things Get Done” when it first came out about six months ago.[1] I’ll let you know what the coin was toward the end of this article, but first I need to give you my own […] 1] I liked it then. But recently, I read another review of it, and another coin dropped.

IT 105

IT Data Architecture Data Strategy Big Data 105

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. The Data & Analytics Dictionary will continue to be expanded in coming months.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

TDAN

APRIL 16, 2019

Apache Hadoop is a comprehensive ecosystem which now features many open source components that can fundamentally change an enterprise’s approach to storing, processing, and analyzing data.

Big Data 45

Big Data Enterprise Management Analytics 45

TDAN

MAY 2, 2023

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

Management 94

Management Data Architecture Data Governance Business Intelligence 94

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. The image at the start of this article is of an Ichthyosaur (top) and Dolphin. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

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. IRM UK Connects. Intricity 101.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

Data Virtualization

DECEMBER 15, 2022

Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

Big Data 52

Big Data Data Integration Technology Management 52

Peter James Thomas

MAY 3, 2019

Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art. More recently Big Data architectures, including things like Data Lakes , have appeared and – at least in some cases – begun to add significant value.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

IBM Big Data Hub

DECEMBER 1, 2023

Leading insurers in all geographies are implementing IBM’s data architectures and automation software on cloud. This capability is fundamental to providing superior customer experience, attracting new customers, retaining existing customers and getting the deep insights that can lead to new innovative products.

Insurance 96

Insurance Digital Transformation Unstructured Data Risk 96

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. Mike is the author of two books and numerous articles.

Technology 90

Technology Data-driven Machine Learning Sales 90

TDAN

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

Data Lake 69

Data Lake Enterprise Data Architecture Data Governance 69

Octopai

AUGUST 24, 2022

The term “mesh”’s latest appearance is in the concept of data mesh , coined by Zhamak Dehghani in her landmark 2019 article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh. How is data mesh a mesh? . The key to moving ahead is to take a step back.

Strategy 92

Strategy Data-driven Sales Enterprise 92

TDAN

NOVEMBER 17, 2020

Top-quality data currently represents one of the most important resources for any company. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].

Data Science 145

Data Science Marketing Data Architecture Data Strategy 145

IBM Big Data Hub

OCTOBER 16, 2023

” Bias, AI and IBM A proper technology mix can be crucial to an effective data and AI governance strategy, with a modern data architecture and trustworthy AI platform being key components. Policy orchestration within a data fabric architecture is an excellent tool that can simplify the complex AI audit processes.

Advertising 68

Advertising Machine Learning Data Architecture Cost-Benefit 68

TDAN

FEBRUARY 16, 2021

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021. Given that, let’s consider what I believe will be some […].

Technology 145

Technology Optimization Management Data Architecture 145

TDAN

OCTOBER 6, 2020

Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows. The industrial landscape is undergoing a digital transformation at a breakneck speed.

IoT 52

IoT Digital Transformation Manufacturing Data Processing 52

TDAN

MARCH 2, 2021

Cloud computing is growing rapidly as a deployment platform for IT infrastructure because it can offer significant benefits. But cloud computing is not always the answer, nor will it replace all of our on-prem computing systems anytime soon—no matter what the pundits are saying.

IT 131

IT Data Architecture Business Intelligence Big Data 131

TDAN

SEPTEMBER 4, 2024

There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in this article that the central issue around which these others revolve is data complexity. It’s the complexity of data that creates and perpetuates these other problems.

Data Quality 52

Data Quality Data Architecture IT Data Governance 52

TDAN

SEPTEMBER 1, 2020

They had seemingly achieved many of the benefits of becoming data-centric through decentralization: all […].

IT 119

IT Data Architecture Data Strategy Business Intelligence 119

TDAN

JUNE 4, 2019

My book “The Data-Centric Revolution” will be out this summer. I will also be presenting at Dataversity’s Data Architecture Summit coming up in a few months. Both exercises reminded me that Data-Centric is not a simple technology upgrade. It’s going to take a great deal more to shift the status quo.

Data Architecture 40

Data Architecture Technology Data Strategy Big Data 40

TDAN

APRIL 6, 2021

Deploying a Machine Learning model to enhance the quality of your company’s analytics is going to take some effort: – To clean data– To clearly define objectives– To build strong project management Many articles have been […].

Machine Learning 52

Machine Learning Management Strategy Modeling 52

TDAN

JULY 3, 2024

Before cloud computing services, business leaders would need to build their own data centers and servers to achieve the same level of operational capability, Now, as e-commerce continues to grow and digitalization […]

Data Architecture 100

Data Architecture Big Data Management 100

TDAN

DECEMBER 31, 2019

LIDAR is a remote detecting innovation that utilizes the beat from a laser to gather data that measures and makes 3D models and maps of inaccessible articles and conditions. A LIDAR framework works in a way that is similar to radar and sonar yet rather than sound or radio waves, it utilizes light waves from […].

Measurement 52

Measurement Modeling Data Architecture IT 52

TDAN

DECEMBER 20, 2022

The data world continues to change rapidly and you may want to consider these predictions when planning for the new year. Special thank you to Altair for providing the following set of bold predictions for 2023. The rise of generative AI startups: Generative artificial intelligence exploded in 2022.

Data Architecture 109

Data Architecture Data Strategy Business Intelligence Big Data 109

TDAN

AUGUST 17, 2021

The increasing speed and pace of business certainly contributes to several data challenges (quality, timeliness, availability and, most important, usability of the data).

Data Architecture 105

Data Architecture Data Strategy Business Intelligence Big Data 105

TDAN

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1]

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

TDAN

AUGUST 20, 2019

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology that drives virtual currencies like Bitcoin. But its potential spans many more industries and use cases than just virtual currencies. But let’s back up for a minute.

Technology 101

Technology IT Data Architecture Data Strategy 101

TDAN

JULY 14, 2020

Mainframes also can easily handle large amounts of data—multiple terabytes—such as is needed for analytical processing and machine learning. Indeed, the mainframe supports both traditional and modern applications and data management requirements, making it a key component of […].

Machine Learning 100

Machine Learning Management Analytics Data Architecture 100

TDAN

JANUARY 20, 2021

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions.

Management 98

Management Data Architecture IT Data Strategy 98

TDAN

JUNE 1, 2021

Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms.

Technology 98

Technology IT Data Architecture Business Intelligence 98

TDAN

JANUARY 17, 2023

The sales industry has been witnessing the rise of AI and automation over many years and 2023 will not be an exception. To stand out in a competitive industry, businesses must invest in revamping their existing sales processes and crafting a modern sales strategy that aligns with the sales predictions for 2023. The role AI […].

Sales 98

Sales Strategy Data Architecture Business Intelligence 98

TDAN

JULY 19, 2022

Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance. It is perhaps no surprise then, that the value of all the world’s data is projected to reach $280 billion by 2025.

Data Integration 98

Data Integration Data Architecture IT Business Intelligence 98