Dataversity

MARCH 10, 2021

Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes. Click to learn more about author Olivia Hinkle.

Data Management 246

Data Management Data Requirement Data Quality Data Governance 246

Smart Data Collective

NOVEMBER 20, 2022

For example, healthcare providers who handle sensitive patient data require data centers that are explicitly HIPAA-compliant. PCI-DSS compliance, on the other hand, is required for any organization that handles the transfer of credit card details.

Big Data 306

Big Data Government Healthcare Data Security 306

Smart Data Collective

APRIL 15, 2020

However, in a complex world full of hackers looking for the next loophole, employees should be properly informed and trained on how to be secure. There should be a clear-cut policy regarding how company data is handled. For example, eFax lets you fax online through their encrypted servers when you want to send sensitive information.

Big Data 246

Big Data Cybersecurity Government Data Requirement 246

Dataversity

JULY 17, 2023

For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices.

Data Requirement 130

Data Requirement Data Management Data Quality Data Governance 130

BizAcuity

APRIL 19, 2019

Only, the data required to do this is not so easily available. All this information is hidden underneath the blanket of complex arrays of information, which when decoded, gives us the answers we are looking for.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Juice Analytics

APRIL 1, 2021

The most common mistake in ineffective data products is an inability to make difficult decisions about what information is most important. Here are a few strategies to help narrow down to the information that matters: Find the core problem Your data product should be more than a lot of data on a screen or page.

Data Requirement 134

Data Requirement 134

Analysts Corner

NOVEMBER 28, 2024

We must be more than just number crunchers; we need to be visionaries who understand how to leverage data effectively within our organizations. The growing importance of data requires leaders to be poised to tackle new challenges. AI tools are transforming how we gather and interpret data. The key is to stay informed.

Data Analytics 130

Data Analytics Data Analytics Innovation Skillset 130

BA Coach

NOVEMBER 4, 2024

Rather than relying on abstract requirements, this principle encourages business analysts (BAs) to use real-world scenarios and examples to demonstrate how a solution will satisfy a need. This provides a clear, shared vision of the purpose and need, helping decision-makers make informed choices based on the latest evidence. Stay Tuned!

Agile 52

Agile Business Analysis Business Analysis Vision 52

ElegantJ BI

DECEMBER 11, 2019

The need for strict analytical accuracy and absolute, binding results is often overkill for what we really need and the idea of absolute accuracy can also be misleading, because that report you are waiting for may be out of date by the time you receive the information.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

The need for strict analytical accuracy and absolute, binding results is often overkill for what we really need and the idea of absolute accuracy can also be misleading, because that report you are waiting for may be out of date by the time you receive the information.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

ElegantJ BI

DECEMBER 11, 2019

The need for strict analytical accuracy and absolute, binding results is often overkill for what we really need and the idea of absolute accuracy can also be misleading, because that report you are waiting for may be out of date by the time you receive the information.

Data Quality 130

Data Quality Agile Innovation Data Requirement 130

Smart Data Collective

NOVEMBER 6, 2019

Rather than guessing who will most likely buy from you, you can pull existing data from your website sales, Google analytics, or another data-collecting tool to identify the best-performing audience segments. You can also use the data to test new clients. You can determine how you’d like to reward each customer.

Big Data 178

Big Data Digital Data Requirement 178

Analysts Corner

OCTOBER 26, 2023

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and Examples Introduction to Business Intelligence In today’s data-driven business environment, organizations must leverage the power of data to drive decision-making and improve overall performance. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 130

Data Warehouse Data Architecture Cloud Computing Data Requirement 130

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

Smart Data Collective

OCTOBER 26, 2019

Having a data storage center that is closer, maybe within the same state, can make resorting the business’ operating information much faster and thereby offer a tighter RTO. Additionally, having a data storage of such magnitude off-site could potentially result in hefty transport fees if the off-site location is far away.

Big Data 169

Big Data Data Requirement Data Management 169

Juice Analytics

MARCH 30, 2021

Enabling these individuals to understand and draw deeper meaning from data is the fundamental condition for a data fluent organization. It takes more than a solitary listener to give meaning to data. When individuals are informed, they can participate in comprehensive dialogue around that data.

Skillset 131

Skillset Data Visualization Visualization Data Requirement 131

Modern Analyst

APRIL 30, 2022

This is the first of a series of articles intended to help business analysts deal with the information aspect of information systems during requirements elicitation. Requirements are commonly categorized as either functional or non-functional. Some may be recorded separately as business rules.

Documentation 81

Documentation Data Requirement 81

Bridging the Gap

MARCH 30, 2023

Technical Skill 3: Data Models for Data Requirements The third set of models are data models , such as entity relationship diagrams , system context diagrams, data flow diagrams, data dictionaries. There are a bunch of different models included in the data modeling area.

Data Modelling 96

Data Modelling Data Requirement Business Analysis Business Analysis 96

Bridging the Gap

SEPTEMBER 7, 2023

Imagine you are ready to dive deep into a new project, but amidst the sea of information and tasks, you find yourself at a crossroads: What documents should you create to capture those crucial requirements? Which documents should you actually create to capture these crucial requirements?

Documentation 98

Documentation Business Analysis Business Analysis Data Requirement 98

Analysts Corner

APRIL 25, 2023

Velocity refers to the speed at which data is generated, analyzed, and processed. Variety refers to the different types of data generated, such as text, images, and video. Why is big data important to business? This information can be used to make better decisions and stay ahead of the competition.

Big Data 130

Big Data Retail Customer Experience Customer Experience 130

Analysts Corner

OCTOBER 17, 2023

Data mining is the process of discovering patterns, trends, and relationships within large data sets using various algorithms, statistical analysis, and machine learning techniques.

Data Mining 130

Data Mining Retail Healthcare Portfolio Management 130

Ntara

JANUARY 13, 2025

The information on those pagesproduct data and digital assetsappeared at the right place and time. A common misconception about PIM softwares DAM function PIM is often the first choice for investment, thanks to its strengths in managing product information, such as specs and marketing copyessential for omnichannel sales.

Retail 52

Retail Digital Government Data Governance 52

ElegantJ BI

MAY 18, 2015

As these businesses grow, the critical information contained within the Tally solution and other best-of-breed or ERP systems may decrease in value because of the restricted ‘silo’ environment in which that data resides.

Business Intelligence 100

Business Intelligence Business Intelligence Monitoring Data Requirement 100

ElegantJ BI

MAY 18, 2015

As these businesses grow, the critical information contained within the Tally solution and other best-of-breed or ERP systems may decrease in value because of the restricted ‘silo’ environment in which that data resides.

Business Intelligence 100

Business Intelligence Business Intelligence Monitoring Data Requirement 100

ElegantJ BI

MAY 18, 2015

As these businesses grow, the critical information contained within the Tally solution and other best-of-breed or ERP systems may decrease in value because of the restricted ‘silo’ environment in which that data resides.

Business Intelligence 100

Business Intelligence Business Intelligence Monitoring Data Requirement 100

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, also look for structured processes, effective data management, good knowledge management and service status visibility. Data governance and information security. These differentiate a dependable provider from the others.

Data Governance 140

Data Governance Government Cloud Computing Monitoring 140

Tableau

SEPTEMBER 12, 2024

By pushing contextual, AI-powered insights directly to people in the flow of work, we’re making it easier for everyone in the organization to act on valuable information without needing to search for it. This not only creates doubt, but also makes it challenging to turn data into real business value.

Data Modelling 111

Data Modelling Real-time Data Visualization Government 111

Juice Analytics

APRIL 21, 2019

While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. To ensure that data requirements are relevant and the solution is useful to customers (profitable too) consider the expression Walking a Mile in their Shoes. Here’s a sample of our questions.

Documentation 73

Documentation Data Requirement Monitoring 73

Domo

MAY 30, 2024

Clean your data set Data cleansing is like preparing your kitchen before you start cooking. Begin with removing duplicate entries to prevent the same information from skewing your analysis. Then move on to making your data formats consistent. It’s essential for keeping your AI effective and efficient.

Data Quality 105

Data Quality Data Governance Government Data Security 105

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Qualitative data benefits: Unlocking understanding.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Insight Software

MARCH 8, 2021

It can be difficult to pull information from multiple NetSuite modules into a single, cohesive report. In other instances, information for which there ought to be a fairly straightforward reporting process turns out to be inaccessible. Here’s how it works: How to Add NetSuite Data to Excel with Spreadsheet Server.

Finance 98

Finance Data Requirement 98

Insight Software

MARCH 28, 2025

These responsibilities help organisations make informed decisions and maintain financial stability. Data integrity issues arise due to the use of multiple disparate systems for data entry and management across the production and supply chain network. Integrating data into the EPM system was also manual and inefficient.

Supply Chain 52

Supply Chain Finance Planning Financial Analysis 52

Bridging the Gap

FEBRUARY 16, 2023

A change request could be related to the business requirements, the stakeholder requirements, the functional requirements , the data requirements. With this information in hand, I often will document in a change request form, so you can see all of it together. Any aspect of the project.

Documentation 98

Documentation Planning Business Analysis Business Analysis 98

BizAcuity

SEPTEMBER 30, 2019

Beyond industry standards and certification, I also look for structured processes, effective data management, good knowledge management, and service status visibility. DATA GOVERNANCE AND INFORMATION SECURITY. These differentiate a dependable provider from the others.

Data Governance 113

Data Governance Government Cloud Computing Monitoring 113

Ntara

JANUARY 19, 2022

Create a centralized source of truth for product data . Before you can optimize your product data for search, it must be consolidated into a central location. Ideally, your product data will live in a product information management (PIM) system. . Request feedback about your website and product data.

Retail 98

Retail Digital Data Requirement 98