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Using Enterprise Architecture Roadmaps to Guide Tech Implementation


In the 21st century, every company is a technology company. Innovations in artificial intelligence, machine learning, the Internet of Things (IoT), and other advanced technologies have enabled companies to do things previously unimaginable when it comes to customer experiences, business growth, and revenue.  All of that comes at a cost, of course. New technologies, system […]

The post Using Enterprise Architecture Roadmaps to Guide Tech Implementation appeared first on DATAVERSITY.


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Author: Ian Stendera

Innovative Ways to Use Data Visualization


Data is an integral aspect of every organization across all industries. However, presenting data is a crucial exercise that requires a lot of creativity to ensure that every team member can grasp the meaning of the content. Many people get confused about how to find valuable insights from a large volume of data in a spreadsheet. That’s […]

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Author: Evelyn Johnson

The Rise of the Semantic Layer


Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface […]

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Author: David Mariani

A Data Recovery Secret That’s (Really) Ransomware-Proof


Cyber resilience is a top concern for businesses in every industry. A key reason for this is that businesses of all sizes continue to face an ever-increasing array of cyber threats including ransomware, malware, and spear phishing.  Ransomware is a particularly pernicious problem and a huge threat to organizations worldwide. According to Cybercrime Magazine, the collective […]

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Author: JG Heithcock

 How To Build a Data-Based Business Strategy in 2022


Over the last 20 years or so, Big Data completely changed the face of business. Then the pandemic hit. While other industries skidded to a stop, the pace of technology development skyrocketed. Suddenly, our whole lives, from work to entertainment to hanging out with friends, were happening online. Worldwide, 97 percent of businesses sped up…
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The post  How To Build a Data-Based Business Strategy in 2022 appeared first on Seattle Data Guy.


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Author: research@theseattledataguy.com

How to Leverage Machine Learning to Identify Data Errors in a Data Lake


A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable […]

The post How to Leverage Machine Learning to Identify Data Errors in a Data Lake appeared first on DATAVERSITY.


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Author: Angsuman Dutta

Advantages of Big Data visualization and why you need it


Big data is one of the most valuable sources of information for every organization. Depending on the data insights generated from data analysis, companies can adjust their products, offering customers more personalized and tailored services. Approximately 45% of businesses across the globe have identified the power of data visualization and are currently dealing with their […]

The post Advantages of Big Data visualization and why you need it appeared first on LightsOnData.


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Author: Sarah John

Logistics, Data, and AI: Key Learnings from the Pandemic


The supply chain business is evolving incredibly rapidly – particularly when it comes to how it uses technology. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend. Almost all […]

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Author: Jaimie Kowalski

12 Benefits of Data Sharing via APIs


Data sharing is a hot topic. Multiple analysts and consultancies have been featuring data sharing as one of the key enablers to successful business partnerships and accelerated growth. Both Gartner and McKinsey have good articles; indeed, Gartner boldly claims that “data and analytics leaders who share data externally generate three times more measurable economic benefit than those who do […]

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Author: Jeremy Posner

young women in school uniforms having conversation inside the classroom
What do customers say when you’re not in the room?

Amazon.com founder Jeff Bezos is apparently “widely quoted” as saying, “Your brand is what other people say about you when you’re not in the room”.

Though the quote probably didn’t originally come from Bezos, the quote still holds true not only for you personally and how you present yourself but also for your organization.

In a nutshell, your brand and how it comes across to your audience is your reputation.

In today’s fast-paced and highly competitive markets, successful brands have to be consistent in the way that they communicate with their audiences across all channels and also need to be consistent and superior in the customer and audience experience. This may be across many applications, many different types of interaction and through the message and communication of all personnel and mediums.

Consider then, how your organization interacts with audiences in these contexts:

  • Environment (storefront or office) –
    • when a customer comes in the door, is there a way to know who that customer is?
    • do you know what their preferences are?
    • can you expedite their purchase/service with a more intimate knowledge of them?
  • Print collateral, signage, packaging
    • do you even know where your customers live?
    • when you put something in the mail to customers, is it personalized?
    • what’s your yield from mailers?
    • would personalizing mail items have customers give it more attention? Market research evidence suggests – yes!
    • can you give your known clients personalized offers like coupons?
    • is signage posted in areas where your audiences live – do you know?
    • is the packaging that you offer with your merchandise sensitively aligned to the preferences of your customer base? How do you know?
  • Website & online advertising
    • when a prospect or customer comes to your website, do you recognise them?
    • if you do recognise them, do you provide them with a personalized experience?
    • how are you identifying repeat visitors or customers?
  • Content publishing
    • How do you make your clients and prospects aware of your content?
    • How do you know whether your content is pertinent to their interests and passions?
  • Sales & customer service
    • when a customer buys in-store, shops online, or calls – do you know who they are?
    • if you know who they are, what exactly do you know about them?
    • do you provide them with unique, personalized and differentiated offerings?
    • how do you make them feel valued and special?

Brand building isn’t simple, but the reality is that once you have a customer for the first time, getting them back for repeat buys is easier if you offer great products and services but more particularly if you know who they are and are able to offer them a repeat experience based on what you know about them demographically and also based on their past purchases?

Brand reputation isn’t something that materializes overnight it is something you have to continuously work on and at Pretectum we believe that the starting point is collecting details about your customers and prospects early on, and as comprehensively as possible.

The only way to harness the power of that customer data is with a customer master data management platform that ensures that the data that you have is complete, comprehensive, accurate and relevant to the job you want to do. Further, you need to gather and maintain this data in a compliant and consented way. That data needs to also be secure but at the same time accessible to the business areas that need it—no mean feat in the current era of heightened concerns about privacy and corporate personal data abuse.

Pretectum has a scalable secure solution that at the same time offers flexibility and structure in a way that is attuned to the way your business prefers to work. We think of it as the Pretectum Advantage.

    The Evolution of Data Virtualization: From Data Integration to Data Management


    Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]

    The post The Evolution of Data Virtualization: From Data Integration to Data Management appeared first on DATAVERSITY.


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    Author: Ravi Shankar

    Most U.S. Companies Still Not Prepared for GDPR or CCPA Compliance


    Even though the European Union’s General Data Protection Regulation (GDPR) went into effect more than four and a half years ago and a hundred other countries have adopted stringent data privacy laws, the U.S. is lagging behind without a federal data privacy rights regulation. California has taken the lead at the state level, the first to adopt the California Consumer Privacy […]

    The post Most U.S. Companies Still Not Prepared for GDPR or CCPA Compliance appeared first on DATAVERSITY.


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    Author: Vijay Basani

    Governors of Data: A Song About Data Governance


    Editor’s Note: Data professional Tiankai Feng writes and performs songs about everything from lockdown to virtual meetings to analytics. We here at DATAVERSITY can’t stop humming “Governors of Data,” his catchy and clever ode to Data Governance – and we think you’ll enjoy it too. I started my role in Data Governance in January and realized quickly […]

    The post Governors of Data: A Song About Data Governance appeared first on DATAVERSITY.


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    Author: Tiankai Feng

    11 Enterprise AI Trends to Know


    AI adoption continues to expand across the globe, with Gartner predicting that organizations over the next five years will “adopt cutting-edge techniques for smarter, reliable, responsible and environmentally sustainable artificial intelligence applications.” And as the industry matures and machine learning (ML) models become cheaper, faster, and more accessible, every enterprise will be looking at how and where the technology may […]

    The post 11 Enterprise AI Trends to Know appeared first on DATAVERSITY.


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    Author: Jonathon Wright

    What Can Artificial Intelligence Do for Me? (Part 2)


    In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. In this post, we’ll look at some more mathematical and algorithmic approaches to creating usable business intelligence from big piles of data.  Regression Analysis Regression […]

    The post What Can Artificial Intelligence Do for Me? (Part 2) appeared first on DATAVERSITY.


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    Author: Patrick Carpenter

    What Role Does the Mainframe Play in Today’s Data-Driven Landscape?


    The mainframe industry is at a pivotal moment in its history – the need for increased compliance requirements, the desire for tighter networks with customers, the growing cloud environment, cost pressures, the need for modern user experience, etc., all contribute to the growing need for mainframe modernization.  According to a recent report from Forrester, 67% of enterprise infrastructure […]

    The post What Role Does the Mainframe Play in Today’s Data-Driven Landscape? appeared first on DATAVERSITY.


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    Author: Jeff Cherrington

    There is Only One Data Governance
    There is… but one… Data Governance. I know that some people will disagree with me. Maybe you are one who believes that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, or maybe even that […]


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    Author: Robert S. Seiner

    A Complete Guide to Data Access Governance
    Imagine a coworker logs onto the company’s HR portal to see his benefits and can see your salary!! What? Don’t worry. That won’t happen as these applications are built with the expertise of years of business processes. These processes determine who can see and edit what data there. Suddenly, this data is brought into a […]


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    Author: Sharad Varshney

    Data Speaks for Itself: Data Speaks as Product
    One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM). It was based on the principle that […]


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    Author: Dr. John Talburt

    How to Prevent Data Theft and Fraud
    As a business, obtaining data is not the only crucial part of data collection; protecting such information is just as important. When your users or customers trust you with their details, it is your responsibility to prevent them from getting into the wrong hands. If not well secured and protected, this vital information is at […]


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    Author: Lydia Iseh

    IT Service Management Trends and Challenges


    Due to the pandemic, the last two years have drastically changed IT operations, especially corporate IT service management, delivery, and support capabilities. In order to gauge exactly how these operations have changed, in late 2021, a global IT service management survey, The State of ITSM: Two Years into the Pandemic, was taken by 437 IT professionals, the […]

    The post IT Service Management Trends and Challenges appeared first on DATAVERSITY.


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    Author: Kumaravel Ramakrishnan

    How To Best Implement a Data Catalog


    Data catalogs are here to stay and a great asset to data-driven organizations. But how do you best implement a data catalog? In this episode, Rupal Sumaria joins us to explore how to implement a data catalog. Rupal is the Head of Data Governance at Penguin Random House in the UK, which successfully implemented a data […]

    The post How To Best Implement a Data Catalog appeared first on LightsOnData.


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    Author: George Firican

    A Beginner’s Guide to Data Modeling and Analytics


    As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts.  Companies use data analysis to clean, transform, and model their sets of data, whereas they […]

    The post A Beginner’s Guide to Data Modeling and Analytics appeared first on DATAVERSITY.


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    Author: Nahla Davies

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