Search for:
Master Data Match Rules
As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and master data match rules identify when two should become one.  Introduction  […]


Read More
Author: Mark Horseman

Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal
The use of data worldwide for business and recreation has exploded in the last decade, with an estimated 328.77 million terabytes of data created every single day globally. In 2024, experts predict that nearly 120 zettabytes of new data will be created. All of this data creation has also created a substantial storage problem for […]


Read More
Author: Ainsley Lawrence

The Importance of Data Due Diligence
Acquiring an existing business can be an exceptional way to make your entrepreneurial dreams come to life — or even diversify your investment portfolio. But, unless you do your research well, you’re opening yourself up to a lot of unnecessary risk. The process of due diligence involves the appraisal and assessment of a potential investment, […]


Read More
Author: Sarah Kaminski

Creative Ways to Surf Your Data Using Virtual and Augmented Reality
Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two […]


Read More
Author: Mark Horseman

Data Cleansing Tools for Big Data: Challenges and Solutions
In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality. However, the scale and complexity of big data present unique challenges for data cleansing […]


Read More
Author: Irfan Gowani

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


Read More
Author: Dave McComb

5 Best Practices for Data Management in the Cloud
Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals. They focus on data security, compliance, and scalability while leveraging cloud technologies to enhance data accessibility, analysis, […]


Read More
Author: Gilad David Maayan

Explainable AI: 5 Open-Source Tools You Should Know
Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them. Explainable AI tools are software and systems that provide transparency […]


Read More
Author: Gilad David Maayan

The Evolution of Data Validation in the Big Data Era
The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation. Origins of Data Validation Traditionally, data validation primarily focused on structured data sets. […]


Read More
Author: Irfan Gowani

The Currency of Information: Managing Data as an Asset (Part Three)
Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean? What is the actual business value of data and information? How can this value be measured? How do we manage data and information as assets? These are some of the questions that I intend to […]


Read More
Author: Larry Burns

Data Protection: Trends and Predictions for 2024
Data protection, as the term implies, refers to the safeguarding of personal data from unauthorized access, disclosure, alteration, or destruction. Data protection revolves around the principles of integrity, availability, and confidentiality. Integrity ensures that data remains accurate and consistent during its lifecycle. Availability guarantees that data is accessible and usable when needed, while confidentiality ensures […]


Read More
Author: Gilad David Maayan

Use of Big Data in Investing
In a turn of events unanticipated by most analysts, young people — Gen Zers and Millennials, in particular — are outpacing older generations in 401(k) contributions. Furthermore, young people are investing earlier than ever, with 31% of Millennials having started investing before turning 21. But with growing investment opportunities for young generations and their unprecedented […]


Read More
Author: Sarah Kaminski

Data is Risky Business: A Wicked Problem This Way Comes
A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI. This happened due to ‘human error’ […]


Read More
Author: Daragh O Brien

The Data-Centric Revolution: “RDF is Too Hard”
We hear this a lot. We hear it from very smart people. Just the other day we heard someone say they had tried RDF twice at previous companies and it failed both times. (RDF stands for Resource Description Framework,[1] which is an open standard underlying many graph databases). It’s hard to convince someone like that […]


Read More
Author: Dave McComb

Data Driven Customer Retention Strategies
Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates. Each customer, or customer segment, is unique, and it is necessary to understand the behaviors and needs of each segment to truly connect with them on a personal level that keeps them coming back for […]


Read More
Author: Ainsley Lawrence

Predictive Maintenance in Industry 4.0
There’s no denying it. The digital revolution we’re living through has fundamentally changed how business is done. So much so that digital platforms and applications now drive enterprises of all kinds. Some like to call this unabashed modern digital age the ‘fourth industrial revolution’ — or, if you prefer, ‘Industry 4.0’. Yet, whatever you call […]


Read More
Author: Jenna Bunnell

Unique Threat Landscape of Digital Divide
Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era. Regions new to the internet are more vulnerable. Therefore, […]


Read More
Author: Ellie Gabel

Resilience in Data Services Through Mitigation and Prevention
If your company works with data, then you need to work on securing it. When it’s lost or stolen by hackers, it can mean serious trouble for your organization and your bottom line. You must understand what’s at stake, how the data can be easily lost, the steps you can take today to mitigate the […]


Read More
Author: Ainsley Lawrence

Raw Data as the Precursor to Everything Data
The world revolves around data. Just about any important decision organizations make depends on the data they have. Data helps organizations mitigate risks, plan marketing campaigns, devise research-backed strategies, and tons more. But a resource this valuable has rather humble, or jumbled, beginnings. What is Raw Data? Raw data is the primary form of data. […]


Read More
Author: Bala Adalarasan

Best Practices for Migrating Applications to the Cloud
It is no secret that cloud migration and transformation helps your business attain desired growth, cost savings, agility, and profitability. With these, your team is able address customer needs faster, monitor app performance, and scale applications according to demand. App migration can be time-consuming, and you cannot afford to mess with the process. And a […]


Read More
Author: Rebecca Grey

Real-Time Big Data Analytics
Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today:  The forecasted market value of big data will reach $650 billion by 2029.  From 2010 to 2020, there has been a 5000% growth in the quantity of data created, captured, and […]


Read More
Author: Mohamed Sohel Athar