Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance.

Business Intelligence 336

Business Intelligence Business Intelligence Supply Chain Visualization 336

Dataversity

NOVEMBER 8, 2022

The post Big Data, Big Responsibility appeared first on DATAVERSITY. However, if every company is a tech company, what has become of what we traditionally think of as technology companies? Just as every company has become reliant on technology […].

Big Data 130

Big Data Data Governance Data Quality Cybersecurity 130

Dataversity

NOVEMBER 22, 2022

When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever.

Big Data 246

Big Data Digital Data Governance Data Quality 246

Domo

APRIL 28, 2022

“Big data” is the next big opportunity for businesses. The insights provided by big data—which is a combination of structured, semistructured, and unstructured data —allow business teams to solve complex problems, improve customer experience, and identify opportunities to increase sales and accelerate business growth.

Big Data 98

Big Data Government Data Governance Customer Experience 98

Dataversity

AUGUST 16, 2023

The term “big data” is no longer the exclusive preserve of big companies. Businesses of all sizes increasingly see the benefits of being data-driven. Effective access to […] The post Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security appeared first on DATAVERSITY.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

The Data Administration Newsletter

MARCH 2, 2021

In this and future columns, I will look at data from diverse and even eccentric perspectives, presenting fresh and sometimes whimsical views of these much-discussed topics. Readers of TDAN.com may recall my previous articles where I explored data governance from the perspective of classical […].

Data Governance 98

Data Governance Government Big Data Data Management 98

Dataversity

JANUARY 6, 2021

We live in an era of big data. Amazingly, statistics show that around 90 percent of this data is only two years old. However, Data Management and structuring are notoriously complex. […]. The post The Need for Flexible Data Management: Why Is Data Flexibility So Important?

Data Management 162

Data Management Big Data Data Governance Data Quality 162

Dataversity

OCTOBER 21, 2022

A decade back, when the big data trend began, the mantra was to collect more and more data — then glean insights from it to better understand consumer behavior, market trends, and demand. The post Why Just Collecting More and More Data Is No Longer Productive appeared first on DATAVERSITY.

Big Data 130

Big Data Data Governance Data Quality Government 130

Analysts Corner

MARCH 9, 2023

Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. The following article lists free resources for learning Excel. 3, 2023, I get 45.2

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Dataversity

SEPTEMBER 1, 2023

No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected.

Big Data 147

Big Data Data Management Data Governance Data Quality 147

Dataversity

OCTOBER 4, 2021

In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […]. Click to learn more about author Gary Lyng.

Big Data 130

Big Data Data Quality Data Governance Government 130

Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Dataversity

APRIL 10, 2023

Like an invisible virus, “dirty data” plagues today’s business world. That is to say, inaccurate, incomplete, and inconsistent data is proliferating in today’s “big data”-centric world. Working with dirty data costs companies millions of dollars annually.

Big Data 130

Big Data Data Quality Data Governance Government 130

Dataversity

AUGUST 26, 2022

Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes.

Big Data 130

Big Data Data Governance Data Quality Government 130

The Data Administration Newsletter

MARCH 1, 2022

The use of data to make more informed decisions is nothing new to government agencies. For years, governments have utilized systems and programs to analyze high amounts of data to better understand critical issues and functions within the public sector and to help them make improvements and more informed decisions moving forward.

Government 52

Government Big Data Data Governance 52

The BAWorld

MAY 25, 2024

And this is when, there is a need for responsible data management, especially when we have Artificial Intelligence (AI) Back in the 2010s, the focus of organizations in different industries was to collect huge amounts of big data. Data governance is quite critical due to privacy regulations and GenAI.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Quality 52

The Data Administration Newsletter

JANUARY 3, 2023

Have you ever considered the value of data? Let me ask you a question: Where does data typically start? Data usually begins somewhere in a hard drive, warehouse, NAS (network-attached storage), server or some other system that can store data. When data is collected and stored, it […].

Big Data 52

Big Data Data Governance Business Intelligence Business Intelligence 52

The Data Administration Newsletter

AUGUST 2, 2022

Data archiving is an important aspect of data governance and data management. Not only does archiving help to reduce hardware and storage costs, but it is also an important aspect of long-term data retention and a key participant in regu­latory compliance efforts.

Data Governance 88

Data Governance Government Data Management Data Architecture 88

GAVS Technology

JUNE 2, 2021

As per Gartner, the data fabric approach can enhance traditional data management patterns and replace them with a more responsive approach. As it is key for the enterprise data management strategy, let us understand more about the details of data fabric in this article. What is Data Fabric? Data Lakes.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

The Data Administration Newsletter

MAY 2, 2023

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

Data Management 94

Data Management Data Governance Data Architecture Big Data 94

The Data Administration Newsletter

SEPTEMBER 4, 2024

In boardrooms across the globe, executives are gleefully signing off on multi-million-dollar investments in data infrastructure. But here’s the inconvenient truth they’re overlooking: Without a data-literate workforce, these shiny new toys are as useful as a Ferrari in a traffic jam. Machine learning!

Big Data 72

Big Data Change Management Data Governance Government 72

Data Pine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Dataversity

MARCH 14, 2022

The post When It Comes to Data Quality, Businesses Get Out What They Put In appeared first on DATAVERSITY. Imagine you’ve invited your boss over for a dinner party to try to show off your culinary skills (and perhaps get a promotion). The stakes are high, so you search the web and find the most revered chicken parmesan recipe around.

Data Quality 246

Data Quality Data Governance Big Data Government 246

The Data Administration Newsletter

MAY 15, 2024

“Big data” refers to data sets that are so complex and large they cannot be analyzed or processed using traditional methods. However, despite the complexity of big data, it has become a major part of our digital-centric society.

Big Data 52

Big Data Digital Data Governance Data Visualization 52

The Data Administration Newsletter

OCTOBER 31, 2023

The concept of “walking the data factory” drew a great deal of interest during our recent DGPO webinar on data classification as part of a holistic governance program. We discussed ways to connect the stove-piped worlds of data governance and information governance under a common governance classification.

Government 59

Government Data Governance Big Data Data Management 59

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? It essentially supports the overall data governance policy.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

The Data Administration Newsletter

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Big Data 64

Big Data Data Analytics Data Analytics Data Governance 64

Data Pine

DECEMBER 11, 2019

With a new year on the horizon, in this article, we’ll explore 10 essential SaaS trends that will stand out in 2020. Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

The Data Administration Newsletter

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

Government 69

Government Data Governance Data Architecture Big Data 69

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Quality Data Warehouse 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Data Warehouse 173

Data Warehouse Data Visualization Data Security Data Governance 173

The Data Administration Newsletter

AUGUST 3, 2021

Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization.

Data Governance 145

Data Governance Big Data Government Data Management 145

The Data Administration Newsletter

MAY 1, 2024

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title?

Data Quality 52

Data Quality Data Governance Big Data Government 52

The Data Administration Newsletter

SEPTEMBER 4, 2024

There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in this article that the central issue around which these others revolve is data complexity. It’s the complexity of data that creates and perpetuates these other problems.

Data Quality 52

Data Quality Data Governance Big Data Data Architecture 52

Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. Click to learn more about author Joan Fabregat-Serra.

Data Warehouse 147

Data Warehouse Data Quality Data Governance Artificial Intelligence 147

Actian

JULY 26, 2019

Is your future data warehouse architecture smart enough to optimize available resources across a collection of users or will it force you to allocate resources in a “captive fashion” to ensure performance SLAs are met, usually at additional cost? As Alex Woodie eloquently describes in his recent article, Big Data Is Still Hard.

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Astera

JUNE 6, 2023

ETL architectures have become a crucial solution for managing and processing large volumes of data efficiently, addressing the challenges faced by organizations in the era of big data. This article delves into the complexities of building and optimizing scalable ETL architectures to meet the demands of modern data processing.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52