Proper data governance is vital to avoid corrupt modelling and inefficient decisions. A data governance roadmap drives a strategic approach.

Build a solid data governance strategy in your company by implementing a successful data governance framework.

The dictionary meaning of the word Governance is “The action or manner of governing a state, organisation, etc”. And simply because every organisation wants to be uniquely different, data governance…

This article defines data governance, explains why it is important, examines the main challenges and gives best practices advice.

Build a solid data governance strategy in your company by implementing a successful data governance framework.

Dave Wells, senior analyst at Eckerson Group, details the role of the data catalog in modern data architecture.

A deeper examination of the interdisciplinary interplay involved in data science, focusing on automation, validity and intuition.

How to avoid creating the right solution to the wrong problem?

Today, most business value is derived from the analysis of data and products powered by data, rather than the software itself. The data generated by several application silos are combined and greatly…

Many life sciences companies find themselves in an unfortunate situation when it comes to their systems for managing their universal data, which is the information about customers and products that’s used by multiple functions in the organization. Given the cost and complexity of developing an enterprise-wide solution, they’ve allowed spot…

Make sure you're ready for the European Union's new law regarding its citizens' personal data: GDPR. Find out what the deal is with this new set of rules and how your IT department can help you prepare for GDPR compliance by beefing up data management and protection efforts, as well as doubling down on cybersecurity.

You’ve got to start with the customer experience and work backwards to the technology. It starts with what incredible benefits can we give to the customer. Where can we take the customer? Steve Jo…

A data governance assessment is one of the best ways to understand the current state of a program. An effective data governance assessment uses the best methods to learn about an organization’s ability for managing data as an asset and to boost data governance performance.

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one… Read More »Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

Data warehouse architectures are changing. Learn about traditional EDW vs. cloud-based models with lower costs, improved scalability, design & performance.

Implementation of business process management systems requires commitment from the entire company. Here’s what to consider.

Key points of this blog include: Digital Transformation sweeps aside traditional industry borders to create new sources of customer and operational value Unfortunately, Digital Transformation and “smart” initiatives are struggling, and organizations will need a more pragmatic approach to successful execution per Forrester research Organizations must define their “smart” initiatives from perspective of stakeholder journey… Read More »Using the Digital Transformation Journey Workbook to Deliver “Smart” Spaces

G3sm data governance methodology supports organizations in planning and implementation for successful data governance and data stewardship programs.

China's Guizhou province is setting up a working committee specifically to oversee Apple's new data center in the region, which was established to comply with cybersecurity laws that went into effect earlier this year.

Did you know that the average person works 12 jobs in their lifetime? Knowing the different types of jobs and their benefits and drawbacks will help you pick the best career choice, whether you're a college student, a new graduate, or an experienced professional. Our work environment and methods are always changing. Considering various forms

Pointing to the increasingly blurry lines that separate structured data and unstructured content, Forrester released a new report titled “The Enterprise Information Management Barbell Strengthens Your Information Value.

Kyvos is the world’s most powerful BI acceleration platform that delivers instant insights trillions of rows, both on the cloud and on-premise data lakes.

What is Data Mart? A data mart is a special version of data warehouse. Data marts are small data warehouses focused on a specific business area or topic within an organization.

Data Scientists want to solve business problems. However, the sad fact is that most data science projects in organizations fail. It’s not because of lack of skill or knowledge. Data science projects need a clear and effective plan of attack to be successful. As data scientists, we study a wide array of tools: advanced algorithms, knowledge of statistics, and even programming skills.

Data is essentially the plain facts and truth collected during the operations of a business. That's why the evolution of analytics started.

Data warehouse architectures are changing. Learn about traditional EDW vs. cloud-based models with lower costs, improved scalability, design & performance.

The Modern Cloud Data Platform: Rise of the Lakehouse Leading organizations understand the importance of making high-quality data accessible, usable, and trusted. A 2019 McKinsey survey found that the companies … - Selection from The Modern Cloud Data Platform [Book]

Want to know why it's a bad idea for the government to ask for back door access to your data? Here's why. As of January 1st, Kazakhstan will require the...