TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Machine Learning 98

Machine Learning Data Quality Data Strategy Strategy 98

Smart Data Collective

JULY 11, 2019

Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach. More nuanced analytics.

Big Data 77

Big Data Machine Learning Marketing Interactive 77

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Instead, what we really need is for our business to run at the speed of data. Source: [link] I will finish with three quotes.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

Data Collection 107

Data Collection Data Quality Big Data Data-driven 107

O'Reilly on Data

JUNE 18, 2019

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 69

Data Integration IoT Cost-Benefit Data Quality 69

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. However, the article raised some very valid points. Risks of using a poorly conceived data strategy.

Data Science 67

Data Science Big Data Data Strategy Risk 67

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. Both approaches aim to improve data quality and enable accurate analysis.

Data Quality 85

Data Quality Data Warehouse Data-driven Reporting 85

TDAN

FEBRUARY 4, 2020

More money, more fun, more pleasure, more accomplishment, more intelligence, and yes, more data. More, more, more! We are culturally conditioned to want more. There is an idea that if we get more, we will be happier and more successful. The need for more fuels consumerism and business.

Big Data 72

Big Data Marketing Data Quality Data Strategy 72

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema registry is essentially an agreement of the structure of your data within your Kafka environment. What’s next?

Data Quality 98

Data Quality Metadata Data-driven Optimization 98

TDAN

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?

Metadata 52

Metadata Management Data Quality IT 52

Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. TDAN stands for The Data Administration Newsletter. Donna Burbank. Intricity 101.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Octopai

JANUARY 31, 2021

The content on A-Team Insight covers financial markets and the way in which technology and data management play a part. This site offers expert knowledge and articles geared towards decision-makers in investment management firms and investment banks. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Alation

MARCH 5, 2021

Organizations have much to gain from learning about and implementing a data governance framework. Though data governance has different names and may be described in many ways, this is what we’ll be focusing on in this article: Why is Data Governance Important? Data Governance Roles. Democratizing Data.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

TDAN

JUNE 18, 2019

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. However, this definition is […].

Data Quality 90

Data Quality Data Architecture IT Data Strategy 90

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Smart Data Collective

JUNE 22, 2023

One such field is data labeling, where AI tools have emerged as indispensable assets. This process is important if you want to improve data quality especially for artificial intelligence purposes. This article will discuss the influence of artificial intelligence and machine learning in data labeling.

Machine Learning 91

Machine Learning Deep Learning Data Quality Modeling 91

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. This is a testament to the importance of online data visualization in decision making. Asking the right data analysis questions helps teams focus on the right data, saving time and money. We read about it everywhere.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Octopai

MAY 2, 2022

A successful data analytics team is one that can increase the quantity of data analytics products they develop in a given time while ensuring (and ideally, improving) the level of data quality. Enter DataOps. What is DataOps? But the approaches and principles that form the basis of DataOps have been around for decades.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

Risk Management 70

Risk Management Risk Management Big Data 70

CIO Business Intelligence

JUNE 1, 2022

At SFU, Cedar’s scale and capacity enable agile prototyping and the integration of big data approaches to support an array of research. We’re starting to see into these vastly larger spaces of how quantum systems evolve,” Khemani said in a recent article. Ready to evolve your analytics strategy or improve your data quality?

Deep Learning 80

Deep Learning Snapshot Optimization Data Quality 80

Alation

JULY 6, 2021

Automated governance tracks data lineage so users can see data’s origin and transformation. Auto-tracked metrics guide governance efforts, based on insights around data quality and profiling. This empowers leaders to see and refine human processes around data. No Data Leadership. Data Quality.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

datapine

DECEMBER 4, 2019

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Predictive & Prescriptive Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

APRIL 25, 2024

According to a recent article in Forbes, data security is a “nonnegotiable” factor for boomers , 90% of whom said that personal data protection is their first consideration when choosing a brand. Today’s consumer expects a highly customized channel-less experience that anticipates their needs.

Strategy 84

Strategy Sales Marketing Consulting 84

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Architecture / Infrastructure. Data Operating Model / Organisation Design.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively. Improved filters usability and bulk actions.

Metadata 56

Metadata Data Quality Machine Learning Statistics 56

Smart Data Collective

APRIL 5, 2019

A team of researchers from Malaysia addressed the role of big data in property management in a globally renowned paper from Research Gate in November. The Benefits of Data Analytics in the Age-Old Property Management Industry. In a nutshell, analytics is the process of collecting, processing, and analyzing data.

Data Analytics 78

Data Analytics Management Analytics Advertising 78

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

IBM Big Data Hub

AUGUST 23, 2023

Making LLMs useful as enterprise software requires governing the training data so that companies can trust the safety of the data and have an audit trail for the LLM’s consumption of the data. Data governance for LLMs The best breakdown of LLM architecture I’ve seen comes from this article by a16z (image below).

Data Governance 53

Data Governance Enterprise Modeling Risk 53

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Peter James Thomas

AUGUST 12, 2018

This article is about facts. These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Up-front Acknowledgements.

Metrics 49

Metrics Statistics Data Quality Measurement 49

TDAN

FEBRUARY 4, 2020

Back in 2017, I wrote an article titled There are No Facts … Without Data. The overwhelmingly positive response to that article validated for me that most people believed my premise to be true. It is time to revisit that topic. I was very thankful to see that. In this anti-fact world (watch cable news […].

Data Quality 59

Data Quality IT Data Governance Metadata 59

BI-Survey

SEPTEMBER 22, 2021

Advanced analytics has come a long way in recent years since the hype around big data ignited. Besides data scientists, user groups such as business analysts are now exploring the potential of advanced analytics. . Data literacy is seen by most as one of the biggest barriers to this.

Analytics 52

Analytics Cost-Benefit Machine Learning Measurement 52