Smart Data Collective

SEPTEMBER 24, 2021

Machine learning programs can be trained on large sets of data, such as customer reviews and feedback, to identify patterns and make predictions about future behaviors. In this article we will explore how you can use machine learning to potentially change and encourage reviews, which we know affects consumer purchasing decisions.

Artificial Intelligence 308

Artificial Intelligence Customer Experience Customer Experience Data Requirement 308

Dataversity

DECEMBER 16, 2022

Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements. 2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning.

Data Requirement 130

Data Requirement Artificial Intelligence 130

Juice Analytics

APRIL 1, 2021

Ask a better question Data requirements can quickly turn into a laundry list of unrelated metrics, dimensions, and half-baked analyses. There are many data products designed to give the users a broad palette to explore a variety of data. Here’s an article with the five differences between exploration and explanation.

Data Requirement 133

Data Requirement 133

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Inflexion Analytics

APRIL 15, 2024

Document Summarization: When you need to extract key points from extensive reports or articles, LLMs are up to the task. Data Efficiency: LLMs require relatively small amounts of domain-specific data to fine-tune.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

Inflexion Analytics

APRIL 15, 2024

Document Summarization: When you need to extract key points from extensive reports or articles, LLMs are up to the task. Data Efficiency: LLMs require relatively small amounts of domain-specific data to fine-tune.

Artificial Intelligence 52

Artificial Intelligence Documentation Digital Innovation 52

Smart Data Collective

MARCH 27, 2019

Gaurav Deshpande of the Big Data and Analytics Hub from IBM highlighted this. Capturing and using location data requires tools that are capable of handling large volumes of data at high velocity. Fortunately, Hadoop and other big data technologies are playing an important role in addressing all of these challenges.

Big Data 160

Big Data Data Requirement 160

Smart Data Collective

JUNE 19, 2019

Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls. However, you should position your organization to benefit from the big data through increased customer satisfaction and improved business.

Big Data 177

Big Data Logistics Monitoring Data Analytics 177

Argon Digital

AUGUST 4, 2022

It’s also a powerful tool to discover requirements and plan elicitation. I’ll walk you through how I’d do that in this article. Business Data Diagram Fundamentals. Let’s start by reviewing the basic structure of a Business Data Diagram. But then, I wanted to add the canvass and its associated data.

Banking 52

Banking Documentation Visualization Data Modelling 52

Argon Digital

AUGUST 4, 2022

It’s also a powerful tool to discover requirements and plan elicitation. I’ll walk you through how I’d do that in this article. Business Data Diagram Fundamentals. Let’s start by reviewing the basic structure of a Business Data Diagram. But then, I wanted to add the canvass and its associated data.

Banking 52

Banking Documentation Visualization Data Modelling 52

The Data Administration Newsletter

OCTOBER 5, 2022

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

Government 52

Government Data Requirement Data Quality Data Governance 52

Ntara

MARCH 21, 2023

In this article, we’ll share the information you need to prepare for the sunset of Universal Analytics on July 1 this year. Here are some of the questions this article will answer for you: Why do I have to update to GA4? What’s different about GA4 vs Universal Analytics?

Data Warehouse 52

Data Warehouse Planning Data Requirement 52

Smart Data Collective

NOVEMBER 6, 2019

Big data and cannabis are two seemingly different concepts. CBD companies are relying more on big data than ever before. In June, Nicole Martin wrote a very detailed article for Forbes on the role of big data in operations management for the cannabis industry. Data helps to drive every industry now.

Big Data 121

Big Data Digital Data Requirement 121

Astera

MAY 25, 2023

In this article, we’ll discuss two of the most popular DBMSs: MySQL and SQL Server. We’ll explain how they work and explore the differences between them, so you can confidently choose the best option for your data-centric needs. Scalability : MySQL is known for its scalability and can handle large amounts of data efficiently.

Data Warehouse 52

Data Warehouse Data Requirement Finance Data Security 52

Netmind

MARCH 9, 2021

Organizations need to develop their ability to obtain and use relevant data that provides information-generation, knowledge, and, ultimately, learning for better decision-making. In this article, rather than getting into types of metrics, indicators, or specific techniques, I want to focus on how organizations can develop this capability.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Organizations need to develop their ability to obtain and use relevant data that provides information-generation, knowledge, and, ultimately, learning for better decision-making. In this article, rather than getting into types of metrics, indicators, or specific techniques, I want to focus on how organizations can develop this capability.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Domo

DECEMBER 5, 2017

Real-time data requires agile execution Real-time data is only as helpful as your ability to execute on it quickly. Following the example of companies like Amazon and Freddy’s, data-driven success will be increasingly defined by how organizations turn real-time data into real-time decisions and actions.

Real-time Data 52

Real-time Data Agile User Experience Data Requirement 52

Marutitech

APRIL 7, 2022

This article will deep dive to cover the introductory look at predictive modeling and its process. This is where data cleaning comes in. . Data cleaning involves removing redundant and duplicate data from our data sets, making them more usable and efficient. .

Predictive Analytics 98

Predictive Analytics Data Modelling Data Mining Data Requirement 98

Roman Pichler

JUNE 7, 2021

Listen to this article: [link]. There are two reasons for this: First, you usually require people’s expertise to help you tackle complex issues, for instance, to understand technical risks or the impact on the ability to market and sell the product. Use data instead to make the decision.

Finance 62

Finance Data Requirement Planning 62

The BAWorld

APRIL 27, 2021

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! Looking at the sheer volume of data generated every minute across the globe can be mind-boggling.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

Data Pine

NOVEMBER 27, 2019

DQM consists of acquiring the data, implementing advanced data processes, distributing the data effectively and managing oversight data. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in this article, we will explore some of the best alternatives to Fivetran.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

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)? Similarly, developing and executing a successful data strategy also needs experienced personnel.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Therefore, it can help businesses extract insights from text-based sources such as social media posts, customer reviews, articles, and more. Can handle large volumes of data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

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?

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? The future is bright for logistics companies that are willing to take advantage of big data.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Astera

JUNE 14, 2023

With the ability to extract key data from digitized or image-based invoices, these software solutions are helping businesses save time and money while increasing efficiency. In this article, we’ll talk about automated invoice scanning software, including how it works, its limitations, and best practices.

Documentation 40

Documentation Digital Banking Data Security 40

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

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.

Data Warehouse 215

Data Warehouse Data Quality Data Analytics Data Analytics 215

MindsMapped

JULY 9, 2020

This article elaborates on Business Analyst and Project Manager-specific competencies and responsibilities, plus highlighting areas where they overlap. Business Analysts and Project Manager’s Roles and Competencies. Does the Individual have the Relevant Skillsets to take on a Hybrid Role?

Project Management 78

Project Management Skillset Requirements Life Cycle Management Business Analysis 78

Insight Software

MARCH 22, 2023

Data requirements are expanding for state-by-state calculations including new apportionment considerations, tax rates, and regional modifications. To address these changes, your tax team can easily get stuck actioning menial data verification tasks, rather than offering important analysis and insights.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert IBM cost 52

Insight Software

JANUARY 17, 2022

The BI solutions you evaluate should be compatible with your current data environment, while at the same time have enough flexibility to meet future demands as your data architecture evolves. Also look for a vendor that supports generic connectors and has flexibility through APIs or plug-ins.

Business Intelligence 52

Business Intelligence Business Intelligence User Experience Embedded Analytics 52

Roman Pichler

JUNE 7, 2021

The grid encourages you to divide the stakeholders into four groups, as I explain in more detail in my article Getting Stakeholder Engagement Right. Use data instead to make the decision. If you lack the relevant empirical evidence, consider pausing the decision-making process and collecting the data required. .

Finance 28

Finance Data Requirement Planning 28

Bridging the Gap

NOVEMBER 2, 2023

At the back of my mind, while this was all going on, I’ve always come across Bridging the Gap and I’ve always seen Laura post on LinkedIn and I’ve always been interested with her posts and articles and even the book, her first book, or I think it was one of her first books. Sorry if I got them wrong.

Business Analysis 52

Business Analysis Business Analysis Process Analysis Documentation 52

Marutitech

OCTOBER 8, 2021

For instance, you can efficiently classify a newspaper article or a book by its most frequently used words. Since tagging data requires consistency for accurate results, a good definition of the problem is a must. These methods are beneficial for long texts. But if the sentences are short, the results will not be so accurate.

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98