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.

Artificial Intelligence 197

Artificial Intelligence Data Quality Innovation Digital Transformation 197

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.

Digital Transformation 289

Digital Transformation Chief Data Officer Innovation Digital 289

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.

Innovation 130

Innovation Data Quality Data Governance Artificial Intelligence 130

Business Analysts

APRIL 5, 2023

by Business Analysis, Artificial intelligence (AI) is rapidly transforming the business landscape by enabling organizations to leverage data insights and automate routine tasks. As AI continues to evolve, it will become even more critical for businesses to leverage technology to remain competitive and drive innovation.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Requirements Gathering 52

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?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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.

Data Discovery 240

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. Serving as a unified data management solution.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

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 […]

Data Quality 52

Data Quality Innovation Data Governance Artificial Intelligence 52

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.

Innovation 147

Innovation Data Governance Artificial Intelligence Data Quality 147

Dataversity

NOVEMBER 9, 2023

In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage.

Data Management 147

Data Management Innovation Data Quality Data Governance 147

Business Analysis Hub

AUGUST 22, 2023

In today's digital age, Artificial Intelligence (AI) has emerged as a game-changer for businesses worldwide. Creating a robust AI strategy is pivotal in harnessing the power of this technology to drive innovation, efficiency, and growth. Ensure data quality and governance: AI relies heavily on data.

Artificial Intelligence 52

Artificial Intelligence Monitoring Customer Experience Customer Experience 52

Business Analysts

AUGUST 7, 2024

According to Gartner , hyperautomation is “a business-driven approach that uses multiple technologies, robotic process automation (RPA), artificial intelligence (AI), machine learning, mixed reality, process mining, intelligent document processing (IDP) and other tools to automate as many business and IT processes as possible.”

Business Analysis 52

Business Analysis Business Analysis Artificial Intelligence Supply Chain 52

Astera

MAY 12, 2023

AI-Driven Game Development Tools for More Efficient and Innovative Game Design AI is not just limited to in-game features but is now being integrated into the very tools used to create games. This allows for more efficient game design and can lead to new and innovative gameplay mechanics that were previously not possible.

Artificial Intelligence 52

Artificial Intelligence Innovation Data Quality Documentation 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Predictions As artificial intelligence continues to rapidly advance, its potential applications are constantly expanding.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

AUGUST 13, 2024

Data-first modernization is a strategic approach to transforming an organization’s data management and utilization. It involves making data the center and organizing principle of the business by centralizing data management, prioritizing data quality , and integrating data into all business processes.

Data Governance 52

Data Governance Data Architecture Data Quality Real-time Data 52

Astera

MAY 11, 2023

By automating tedious data tasks, AI enables scientists to focus on innovation and discovery Real-world evidence (RWE) holds significant potential for practitioners to gain insights into the safety and effectiveness of medical products within real-life environments.

Healthcare 40

Healthcare Artificial Intelligence Pharmaceutical Data Quality 40

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

AUGUST 15, 2024

How do Data Orchestration Tools Help? Data orchestration tools address the challenges mentioned above and simplify orchestration through a range of features and capabilities, often leveraging Artificial Intelligence (AI) to do so. Pre-built transformations and functions enable users to modify their data as needed.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

SEPTEMBER 28, 2023

The data readiness achieved empowers data professionals and business users to perform advanced analytics, generating actionable insights and driving strategic initiatives that fuel business growth and innovation. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. But what exactly does data integration mean?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. But what exactly does data integration mean?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

MAY 4, 2023

As AI technology continues to evolve and mature, its integration into business intelligence and analytics unlocks new opportunities for growth and innovation. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Data Pine

OCTOBER 25, 2022

Not only will you learn how to handle big data and use it to enhance your everyday operations, but you’ll also gain access to a host of case studies that will put all of the tips, methods, and ideas into real-world perspective. 15) “Business Intelligence Guidebook: From Data Integration To Analytics” by Rick Sherman.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

JULY 11, 2023

Fortunately, with the introduction of automated solutions, the process of extracting data from bank statements has been revolutionized. This innovative approach saves time and ensures remarkable accuracy, empowering real estate professionals to excel in their endeavors. How Does Automated Data Extraction Work?

Banking 40

Banking Artificial Intelligence Data Quality Documentation 40

Astera

DECEMBER 28, 2023

Top Informatica Alternatives to Consider in 2024 Astera Astera is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). The tool enables users of all backgrounds to build their own data pipelines within minutes.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Top Informatica Alternatives to Consider in 2024 Astera Astera is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). The tool enables users of all backgrounds to build their own data pipelines within minutes.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

NOVEMBER 30, 2023

In 2013, Dan Linstedt and Michael Olschimke introduced Data Vault 2.0 as a response to the evolving data management landscape, taking Data Vault 1.0 While maintaining the hub-and-spoke structure of its predecessor, The upgrade introduces new, innovative concepts to enhance its efficiency and adaptability. Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

JUNE 28, 2023

Choosing the Right Legal Document Data Extraction Tool for Governing Bodies When selecting an automated legal document data extraction tool for a governing body, it is crucial to consider certain factors to ensure optimal performance and successful implementation.

Documentation 40

Documentation Government Data Quality Data Security 40

Astera

FEBRUARY 19, 2024

Intelligent Form Data Extraction Intelligent form data extraction is a better alternative to form processing as it overcomes the limitations of OCR. Intelligent form data extraction employs AI to enhance data quality. This can help businesses gain insights, make decisions, and drive innovation.

Supply Chain 40

Supply Chain Documentation Banking Healthcare 40

Astera

MAY 9, 2023

Data Quality While traditional data integration tools have been sufficient to tackle data quality issues, up till now, they can no longer handle the extent of data coming in from a myriad of sources.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

MAY 30, 2024

The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

NOVEMBER 13, 2023

Efficient Collaboration: By centralizing data, EDWs foster cross-departmental collaboration. Teams can seamlessly access, share, and jointly analyze data, facilitating better alignment, problem-solving, and innovation throughout the organization.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Data Pine

AUGUST 29, 2022

has both practical and intellectual knowledge of data analysis; he worked in data science at IBM for 9 years before becoming a professor. The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Astera

OCTOBER 30, 2024

If you’re working in the data space today, you must have felt the wave of artificial intelligence (AI) innovation reshaping how we manage and access information. One of the areas affected is data catalogs, which are no longer simple tools for organizing metadata. billion in 2024 to USD 4.68 billion by 2032.

Data Discovery 52

Data Discovery Supply Chain Data Quality Government 52

Data Pine

MAY 17, 2021

Big Data Discovery: Why Is It So Popular? Now that we’ve explored the definitive data discovery definition for your reading pleasure, let’s delve into this innovative concept as a trend. As we mentioned at the beginning of this article, the big data industry has shown exponential growth in the past decade.

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

Domo

NOVEMBER 15, 2021

Domo spends a lot of time discussing and defining “modern BI”—and for good reason: It’s the next rung on the digital transformation ladder, which is to say it’s a data-driven approach that puts real-time data into the hands of business personnel, fostering innovation, better decision-making, and an ability to solve more complex problems, fast.

Digital Transformation 52

Digital Transformation Skillset Innovation Monitoring 52

Timo Elliott

DECEMBER 4, 2024

They also highlighted SAP’s commitment to innovation, with 1,800 advancements delivered this year, although many are available only on cloud platforms. Yet concerns around data quality and security persist. Bridging Skills Gaps Riordan flagged a looming talent crunch as one of the biggest challenges in the S/4HANA migration.

Artificial Intelligence 130

Artificial Intelligence Innovation Data Quality Planning 130