article thumbnail

What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

article thumbnail

When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Programming Conference – Jfokus Stockholm 2025

Henrik Warne

The input is one billion rows of simple weather csv data, and the idea is to see how fast it can be processed in Java. Ren used a flamegraph from a profiler to guide what areas of the program should be optimized. He, like me, has always loved programming. This is a talk on Java optimization, and I really enjoyed it!

article thumbnail

INE Launches Initiative to Optimize Year-End Training Budgets with Enhanced Cybersecurity and Networking Programs

CIO

Future-Proofing : Prepare teams for future challenges with forward-looking training programs. To learn more about INE’s comprehensive Networking, Cloud, and Cybersecurity training programs, users can visit www.ine.com or contact INE Security’s corporate training advisors directly.

Budget 178
article thumbnail

How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools. Driving a self-service analytics culture with a semantic layer.

article thumbnail

Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.

article thumbnail

Uber branches out into AI data labeling

CIO

Scaled Solutions grew out of the company’s own needs for data annotation, testing, and localization, and is now ready to offer those services to enterprises in retail, automotive and autonomous vehicles, social media, consumer apps, generative AI, manufacturing, and customer support. This kind of business process outsourcing (BPO) isn’t new.

Data 181
article thumbnail

The 5 Stages of Account-Based Marketing — and How to Win Them All

But none of this is possible without the most important element of a successful ABM program: good data. Data is the fuel that powers your ABM engine. And yet only 43% of marketers are completely satisfied with the quality of their data. Without it, you can’t find and reach your target accounts.

article thumbnail

The Retailer’s Playbook for Customer Acquisition

Now more than ever – one need remains consistent: a successful customer acquisition program. We developed this guide to help retailers build a data-centric acquisition program that lowers their acquisition costs, eliminates wasteful spending, attracts high-value customers and provides a competitive advantage in a tight market.

article thumbnail

Foundational ABM Building Blocks

But getting a program off the ground successfully doesn’t have to be a daunting task. Get insights on: Building a solid data foundation Targeting, signals, and optimizing engagement channels Aligning your ABM program with the customer life cycle Establishing effective KPIs and reporting strategies

article thumbnail

How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. In this webinar, you will learn about: Launching data literacy programs and building business cases.

article thumbnail

How Agile Approaches Change Project, Program, and Product Measures

Speaker: Johanna Rothman, Management Consultant, Rothman Consulting Group

Before agile approaches took the world by storm, we used Gantt charts and defects to measure project and program progress. We can measure the project’s and program’s progress with a variety of product burnup charts. Possible measures you might use in projects and programs. Agile approaches provide us other options now.

article thumbnail

What We Learned From Our Own Data-Driven ABM Strategy

talking points, we thought it would be more helpful to examine an ABM program that ZoomInfo executed. ZoomInfo has created the following eBook to help other B2B organizations gain insights on how to launch their own data-driven ABM strategy.

article thumbnail

Going Beyond Account-Based Marketing: Why ABM-i is the Wave of the Future

Learn 8 strategies to use data and technology to create scalable yet personalized ABM programs. Evolve beyond account-based marketing and create a hyper-personalized approach that considers stakeholders as individuals. Download the guide.

article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.