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MDM vs. CDP: Which Does Your Organization Need?


Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include:   1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central […]

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Author: Mahtab Masood and Arjun Vishwanath

The Cool Kids Corner: Data Leadership (and the Importance of TNADVTMADHGI)


Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Last month we discussed data privacy. This month we’re talking about data leadership. What do we mean by data leadership? What are our challenges […]

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Author: Mark Horseman

Unlocking Business Potential: Leveraging Data Protection for Growth and Privacy


Data is undeniably the modern fuel that keeps organizations up and running in the dynamic business landscape. Admit it: Every organization catering to its customers online is handling heaps of customer data, which is collected for various purposes, including marketing and personalization.  While most customers may offer their consent to use their personal details, most […]

The post Unlocking Business Potential: Leveraging Data Protection for Growth and Privacy appeared first on DATAVERSITY.


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Author: Rakesh Soni

Now Is the Time for Executives to Deploy Ethical Rules Around AI


For better or worse, AI is causing disruption in almost every field imaginable. Corporations around the world are embracing its possibilities to make work more efficient. The success of ChatGPT and other generative AI tools has also caught the attention of nearly every industry in an effort to meet profitability, efficiency, and sustainability goals. Money […]

The post Now Is the Time for Executives to Deploy Ethical Rules Around AI appeared first on DATAVERSITY.


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Author: Usman Shuja

Granularity Is the True Data Advantage


Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated. Often, executives will become overzealous in their digital transformations and cut blank checks for data collection, […]

The post Granularity Is the True Data Advantage appeared first on DATAVERSITY.


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Author: Fabrizio Fantini

Mind the Gap: The Data Chasm


Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see […]

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Author: Mark Cooper

SQL at 50: A Lesson in How to Stay Relevant Around Data


Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands. Today, we take SQL for granted around data – it is still the third most […]

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Author: Dave Stokes

Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022. 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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Author: Allison Connelly

The End of Agile – Part 4 (Lessons from Agile)
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

A Step Ahead: IoT Data Characteristics — Seven Vs
IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing, and data analytics. One of the keys in the success of IoT is the data that flows underneath these technologies. Naturally, the IoT sensors and devices generate a huge amount of data automatically and continuously. […]


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Author: The MITRE Corporation

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  […]


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Author: Mark Horseman

New Gartner Category Impacts Data Governance Professionals
With the latest SEC developments lighting a fire under the feet of companies and their executives, data governance is increasingly a front-line imperative. The shift is dramatic, with firms now mandated to report material cybersecurity incidents promptly, a move that ties the knot even tighter between cybersecurity and data governance. As highlighted in the “Data […]


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Author: Myles Suer

Smart Data Fingerprinting: The Answer to Data Management Challenges


The world generated 120 zettabytes of data in 2023, on track for a 1.5x growth over two years to exceed 180 zettabytes in 2025. Unfortunately, data management strategies have not kept pace with the evolution and expansion of data, largely continuing to work with old-world processes and structured information stored in historical databases. There is an […]

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Author: Sunil Senan

The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights


Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]

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Author: Nahla Davies

Data Labeling Challenges and Solutions


In the rush to adopt AI across diverse sectors, today’s enterprises face a common hurdle: efficient data labeling at scale. Numerous enterprises are grappling with generating usable data despite having huge amounts of raw information. Organizations are overwhelmed by the influx of image data, highlighting the need to process and label it for practical use. Data […]

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Author: Hemanth Yamjala

Terms You Should Know If You’re Planning To Use Change Data Capture


If you’ve worked in data long enough, then you’ve likely come across the term change data capture. Often called CDC, change data capture involves tracking and recording changes in a database as they happen, and then transmitting these changes to designated targets. This can be crucial because some pipelines, in particular batch pipelines, don’t capture…
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The post Terms You Should Know If You’re Planning To Use Change Data Capture appeared first on Seattle Data Guy.


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Author: research@theseattledataguy.com

In life, generally old keys cannot open new doors


To progress and achieve new goals, we must let go of old mindsets, habits, and behaviours that no longer serve us.

Holding onto our past experiences and some historical knowledge can hinder our growth and keep us stuck in familiar but unfulfilling behavioural and mindset patterns. As one evolves and matures and takes on new challenges, one should adapt one’s approach accordingly.

As the saying suggests, trying to use the same “keys” from the past to unlock the doors of the future can be very frustrating and even futile.

To open new doors of opportunity, work, and endeavour, one must be willing to sometimes embrace radical change and embrace new ways of thinking and acting. This may require completely unlearning some of our old and potentially limiting beliefs about ourselves, those around us, and their and our potential. We should not let yesterday’s experiences and mindset dictate today’s possibilities.

Discarding the “dead weight” of a bunch of old keys that jangle our lives, creates cognitive and emotional space for the new keys we need to succeed. This discard could mean breaking old habits, ending toxic relationships and associations, or adopting a fresh perspective.

This all takes work, but the potential rewards in terms of personal growth and new opportunities often make it very worthwhile. The key is to focus on the new vision you have for your life, and take small daily actions to make it a reality.

Swapping out unproductive habits for ones that serve your goals with growth integral to your mindset, accompanied by a consistent effort can often open doors to a better future.

To embark upon this change is not easy, but it may well be necessary for your growth and to release you from being stuck in a rut or dissatisfied with your current circumstances. If these characteristics encumber your daily life, then it’s a sign that it’s time to let go of the old and embrace the new.

It’s important to take an honest look at one’s life and identify the areas that need improvement. Dead-end job, unfulfilling relationship, bad habits? Once we pinpoint the issues, we can start to develop a plan for change.

Letting Go

One of the biggest obstacles to change is our attachment to the past. Humans by their very nature are mostly nostalgic and sentimental.

Nostalgia is such a common human experience, with most people reflecting on the past as often as once a week, according to some studies.  This involves sentimentally longing or having an affection for the past, typically for a period or place with happy personal associations. This is often triggered by something reminding an individual of a positive experience from the past, such as songs, smells, photographs, or loneliness. Often it is characterized by bittersweet or even painful memories of the past.

The most nostalgic of us do tend to have certain personality traits, such as daydreaming frequently, being sentimental, overthinking, romanticizing the past, and not liking change. Nostalgia peaks during transitional age ranges like the teens through 20s and over 50. This nostalgia can have both positive and negative effects, positively boosting one’s mood, increasing self-esteem, providing a sense of social support, and helping one cope with difficult life transitions. Excessive nostalgia and dwelling too much on the past may have corrosive negative consequences.

We may cling to old habits, relationships, or beliefs because they feel comfortable and familiar. However, this attachment can prevent us from moving forward and reaching our full potential. It’s important to acknowledge that the past is gone and that we can’t change it but what we can change is our perspective on it.

Instead of viewing the past as a burden, we can see it as a learning experience that has shaped us into who we are today. Letting go of the past, we create space for new opportunities and experiences. We free ourselves from the weight of old baggage and can focus on the present moment and the future.

Growth and Rewards

To open new doors in life, we need to adopt a growth mindset.

This means embracing challenges, learning from mistakes, and continuously striving for improvement.A growth mindset allows us to see obstacles as opportunities for growth rather than roadblocks. When we face a challenge, we can approach it with curiosity and a willingness to learn rather than fear and resistance.Developing a growth mindset also requires us to be receptive to feedback and criticism despite it being hard to hear and accept. That feedback can provide valuable insights into areas where we can improve and inform our growth, we can accelerate our progress and open new doors more quickly with new keys.

Change is tied to action, so it’s not enough to simply think about the changes we want to make; we need to take concrete steps to make them happen – one way is with setting clear goals for ourselves. Understanding where we want to go and what we want to achieve. Understanding what we think success looks like. By setting specific, measurable goals, we can create our own personal roadmap for growth to help us stay focused on the path ahead.

Another important action is to develop a support system; seeking out supportive friends, family, or mentors who can make a difference in terms of providing emotional support and perhaps other kinds of support too. These people can provide encouragement, advice, and accountability as we work towards our goals.

Finally, it’s important to celebrate one’s progress and successes along the way; since change is a journey, it’s important to acknowledge the small wins that keep us motivated and inspired and celebrate our achievements, from which we can build momentum and stay focused on the bigger picture.


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Author: Clinton Jones

Understanding Linear Regression Intercepts in Plain Language


I am often asked about the role of intercepts in linear regression models – especially the negative intercepts. Here is my blog post on that topic in simple words with minimal statistical terms.   Regression models are used to make predictions. The coefficients in the equation define the relationship between each independent variable and the dependent variable. […]

The post Understanding Linear Regression Intercepts in Plain Language appeared first on DATAVERSITY.


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Author: Prashanth Southekal

Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations


Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]

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Author: Ed Watal

Apache Spark Vs Apache Flink – What Is The Difference?


As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds. As a result, frameworks such as Apache Spark and Apache Flink became popular due to their abilities to handle big data processing…
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Author: research@theseattledataguy.com

Preparing for La Niña: Adopting Predictive Maintenance Before Hurricane Season


With a La Niña watch issued for the summer, businesses operating in hurricane-prone regions face heightened concerns about the impending storm season. La Niña heavily impacts the wind shear and atmospheric conditions over the Atlantic, where most hurricanes form thanks to its warm waters. It’s rare to go a year without a hurricane hitting some part of […]

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Author: Kevin Miller

How AI Can Improve Company Performance Through Better DEX 


In tech circles these days, one topic drives every conversation: artificial intelligence (AI). Whether discussing the potential benefits of increased productivity or the potential risks, the role of AI in business is on the minds of everyone, from C-suite leaders to recent college graduate hires. AI is a hot topic because while people can see […]

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Author: Mike Marks

Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams


In the real-time software world, 24×7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it […]

The post Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams appeared first on DATAVERSITY.


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Author: Tejaswi Agarwal

Good Data Quality Is the Secret to Successful GenAI Implementation


You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic […]

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Author: Stephany Lapierre