Why Is Data Quality Still So Hard to Achieve?
Dataversity
OCTOBER 25, 2023
We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. appeared first on DATAVERSITY.
IKEA’s Data Transformation: Lessons from a Global Giant
Timo Elliott
NOVEMBER 7, 2024
In the digital era, data is the backbone of innovation and transformation. At IKEA, the global home furnishings leader, data is more than an operational necessity—it’s a strategic asset. To create a connected, resilient ecosystem where data quality underpinned every operational decision.
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Putting the Business Back Into Business Innovation
Timo Elliott
DECEMBER 14, 2022
Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. So innovation has to mean business! It’s not just a technology toolbox, it’s a platform designed to accelerate innovation and unleash your business potential. So how do organizations do that?
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2023 SAP Innovation Award Winners: Swiss Federal Railways, Mastering a Data-Driven Culture with SAP BTP
Timo Elliott
MAY 19, 2023
Here’s a great example of how technology can help make sure that you have a solid information foundation for innovative new business processes. Swiss Federal Railways (SBB) is a winner of one of the prestigious 2023 SAP Innovation Awards , in the “Experience Wizards” category. It’s always about people!
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Corporate Data Governance: The Cornerstone of Successful Digital Transformation
Dataversity
DECEMBER 26, 2024
In todays evolving digital landscape, organizations are under immense pressure to innovate and adapt swiftly. Digital transformation is no longer a luxury but a necessity for businesses aiming to stay competitive.
Balance Data Quality with Data Agility!
ElegantJ BI
DECEMBER 11, 2019
Data Quality vs. Data Agility – A Balanced Approach! We learned quite some time ago that if used the brainstorming concept of freewheeling, non-judgmental discussion we could bounce ideas off one another and often come up with innovative ideas that would not have resulted from a discussion that was more restrictive.
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Balance Data Quality with Data Agility!
ElegantJ BI
DECEMBER 11, 2019
Data Quality vs. Data Agility – A Balanced Approach! We learned quite some time ago that if used the brainstorming concept of freewheeling, non-judgmental discussion we could bounce ideas off one another and often come up with innovative ideas that would not have resulted from a discussion that was more restrictive.
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Balance Data Quality with Data Agility!
ElegantJ BI
DECEMBER 11, 2019
Data Quality vs. Data Agility – A Balanced Approach! We learned quite some time ago that if used the brainstorming concept of freewheeling, non-judgmental discussion we could bounce ideas off one another and often come up with innovative ideas that would not have resulted from a discussion that was more restrictive.
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From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro
Timo Elliott
DECEMBER 10, 2024
This dedication extends to their internal operations, where poor data quality was identified as a significant potential risk to product quality, and hence their brand reputation. Next Steps in Data Management & Governance WaterWipes now has a robust framework to build upon.
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Redefining Leadership: AI-Driven Innovation
Dataversity
NOVEMBER 22, 2023
On the other hand, the tightening grip of […] The post Redefining Leadership: AI-Driven Innovation appeared first on DATAVERSITY. On the one hand, the relentless speed of AI-driven advancement and fierce industry competition demand an agile, iterative approach to unlock AI’s full potential.
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How Data Will Reshape Industries in 2025
Dataversity
JANUARY 13, 2025
Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities.
How Unrivaled AI & ML Powered Solutions Are Revolutionizing Web Data Gathering Industry
Smart Data Collective
DECEMBER 7, 2020
The latest innovation in the proxy service market makes every data gathering operation quicker and easier than ever before. Since the market for big data is expected to reach $243 billion by 2027 , savvy business owners will need to find ways to invest in big data. Therefore, data quality assurance is essential.
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What is Dark Data, Why Does it Matter, and Why Are Humans Still Needed?
Timo Elliott
JANUARY 3, 2022
Improving data quality. Unexamined and unused data is often of poor quality. Today’s data quality solutions, augmented by machine learning capabilities, can help sift through the noise, identify the patterns of bad data quality, and help fix the problem. Data augmentation.
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AI Ethics and Innovation for Product Development
Dataversity
MAY 3, 2023
AI ethics are a factor in responsible product development, innovation, company growth, and customer satisfaction. However, the review cycles to assess ethical standards in an environment of rapid innovation creates friction among teams. Companies often err on getting their latest AI product in front of customers to get early feedback.
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Administering Data Fabric to Overcome Data Management Challenges.
Smart Data Collective
SEPTEMBER 21, 2021
The world we live in keeps facing unprecedented and rapid phase changes when it comes to business verticals and innovations. In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. Data quality and governance.
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Harrods’ Data Analytics Transformation: Turning Challenges into Insights
Timo Elliott
DECEMBER 9, 2024
Backlog of Reports: Migrating legacy reports to SAC consumed significant resources, slowing innovation. Performance and Data Quality Issues: Transitioning to live connections in the new environment revealed gaps in the data models and performance challenges.
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Key Highlights from Data Intelligence Day 2025 Amsterdam by Databricks
Analysts Corner
MARCH 30, 2025
Third, he noted that technical barriers to AI and analytics often prevent organizations from leveraging data effectively. He explained how AI-driven insights can help every department drive data-driven innovation. Ratushnyak also shared insights into his teams data processes.
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Why IT Needs to Drive Innovation Through Analytics
Dataversity
JULY 31, 2023
Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors.
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How Can BI Consulting Services Help Foster Data-driven Decisions
BizAcuity
NOVEMBER 13, 2024
Challenges in Achieving Data-Driven Decision-Making While the benefits are clear, many organizations struggle to become fully data-driven. Challenges such as data silos, inconsistent data quality, and a lack of skilled personnel can create significant barriers.
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics
Data Pine
SEPTEMBER 29, 2022
1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.
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“Data is the closest thing to magic in the modern world…”
Timo Elliott
JANUARY 5, 2022
Yves Lombaerts, Sales Manager for the Belgian market, picked up our Global Innovation Evangelist Timo Elliott for an interesting ride to SAP’s offices in Brussels. Timo: I love coming to Belgium, I always notice several great innovation projects here. We see that they don’t always have the budget to invest heavily in innovation.
Why the Future Success of Organizations Relies on Innovation from IT
Dataversity
JULY 31, 2023
Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors.
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5 Crucial Database Practices For Overseeing Sound Big Data Strategies
Smart Data Collective
OCTOBER 20, 2020
Sure enough, there’s more to big data than just having the right tools for handling them. Companies have found many innovative ways to use big data to strengthen their business models. Uber uses big data to develop machine learning algorithms to forecast demand. Adopt Automation.
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Technical and Strategic Best Practices for Building Robust Data Platforms
Dataversity
DECEMBER 2, 2024
In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks.
Use this Strategic Approach to Maximize Your Data’s Value
Smart Data Collective
JANUARY 9, 2023
The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis. Here is a strategic approach to maximize your data’s value.
Data is Risky Business: Data Quality Discussion about Data Ethics
The Data Administration Newsletter
DECEMBER 14, 2021
The Data Ethics Conundrum The recent DAMA EMEA conference was a valiant effort to connect the DAMA membership in the EMEA region through an innovative virtual conference format. One of these polls asked, “Are Data Ethics Principles Universal?” During the conference, various polls were run.
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How Data is Powering The Future of Business: Trends and Opportunities
Timo Elliott
SEPTEMBER 20, 2019
.” After struggling to find some way to talk about data that hasn’t already been covered a thousand times over the last few decades, I ended up focusing on real-world examples of organizations that have used data to innovate the way they do business.
Pillars of Data Integrity: The New Business Imperative
Dataversity
JANUARY 27, 2021
Innovations in data-driven intelligence continue to power transformation initiatives for modern businesses. While these innovations improve how we collect, store, manipulate, and analyze data, that is not enough to fully leverage data. Click to learn more about author Amy O’Connor.
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The Art and Science of FP&A Storytelling
Timo Elliott
JANUARY 4, 2021
As I’ve said, data storytelling isn’t fundamentally about technology. Data can help with insights, but only people can turn data into innovation. There has to be broad consensus around the KPIs, and flexible technology to be able to adapt to change. The key takeaways. But technology can help!
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Book of the Month: Insights from “Humanizing Data Strategy”
Dataversity
SEPTEMBER 2, 2024
In this series, we will explore new books in the data management space, highlighting how thought leaders are driving innovation and shaping the future. Welcome to our new series, “Book of the Month.”
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Unlocking the Value of Data: A Comprehensive Guide to Data Profiling
Analysts Corner
AUGUST 13, 2023
In the era of data-driven decision-making, understanding and managing the quality of data is crucial. As organizations increasingly rely on data to drive their operations, strategy, and innovation, ensuring data integrity and usability has never been more important.
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Top 10 Analytics Trends for 2019
Timo Elliott
JANUARY 22, 2019
These data-driven, self-learning business processes improve automatically over time and as people use them. Cloud brings agility and faster innovation to analytics. As business applications move to the cloud, and external data becomes more important, cloud analytics becomes a natural part of enterprise architectures.
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Data Quality Tools: Top 8 for 2023 & Beyond
Astera
AUGUST 8, 2023
What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.
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How Data Management and Big Data Analytics Speed Up Business Growth
BizAcuity
APRIL 14, 2022
Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?
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What Is Data Quality and Why Is It Important?
Astera
JANUARY 1, 2024
What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.
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What Is Data Quality and Why Is It Important?
Astera
JANUARY 1, 2024
What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.
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What Tools Do You Need To Manage Unstructured Data?
Smart Data Collective
SEPTEMBER 22, 2021
The next aspect to addressing unstructured data is extracting more concrete information from it, and this may be the most complicated element. How do you quantify unstructured data? Once businesses can see “inside” their unstructured data, there’s a lot to explore.
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BAs and POs: Are You Asking the Right Questions?
BA Squared
SEPTEMBER 25, 2020
We create data debt the same way and then have “bad data” or poor data quality coming in from multiple disparate processes, then we try to use AI, data analytics, and machine learning and get burned because the data inputs are not the quality needed to meet the goal of such automation.
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Business analysis with artificial intelligence in year 20XX
Analysts Corner
JUNE 21, 2023
There is still much work to be done to improve data quality and ensure that AI has access to all relevant information without compromising the privacy and security of those involved. Embrace this partnership, be open to possibilities, and get ready for a journey full of discoveries and innovations.
Six Data Quality Dimensions to Get Your Data AI-Ready
The Data Administration Newsletter
MAY 1, 2024
GenAI has brought hope and promise for those who have the creativity and innovation to dream big, and many have formulated impressive and pioneering […]
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Avoiding the Pitfalls: Don’t Rush Chatbot Deployment
Dataversity
AUGUST 28, 2024
AI has rapidly emerged as a status symbol for companies worldwide because it signifies innovation and a commitment to staying ahead of technological trends. This has prompted the critical question, “Who can implement it first?”
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The Future of BPM with AI and Machine Learning
CMW Lab Blog
DECEMBER 27, 2024
Overcoming Challenges in AI Adoption Adopting AI has immense potential, but businesses may encounter roadblocks such as data quality issues, skill gaps, and integration with legacy systems. Here’s how to address these challenges: Quality Data Management : Use centralized data lakes to ensure high-quality, accessible data.
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Conversational AI’s Quantum Leap: How RAG Is Enabling Smarter Chatbots
Dataversity
JUNE 13, 2024
Chatbots were among the first apps that testified to the mainstream adoption of AI and inspired further innovations in the conversational space. Now, it’s time to move on from just responding bots to emphatic companions that further reduce the dependency on human intelligence.
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AI and GenAI for Manufacturing and Supply Chains
GAVS Technology
NOVEMBER 8, 2024
It is also important to understand the critical role of data in driving advancements in AI technologies. While technology innovations like AI evolve and become compelling across industries, effective data governance remains foundational for the successful deployment and integration into operational frameworks.
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