Dataversity

JULY 16, 2025

In Part 1 of this series, we established the strategic foundation for external data success: defining your organizational direction, determining specific data requirements, and selecting the right data providers.

Government 147

Government Data Requirement Data Governance Data Quality 147

The BAWorld

JANUARY 16, 2025

For instance, AI might tell you there’s a pattern in your customer data, but your CBDA knowledge helps you understand whether that pattern matters for your business and how to act on it. Moreover, CBDA certification holders are uniquely positioned to bridge the gap between AI capabilities and business needs.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Retail 40

Insight Software

JULY 2, 2025

Data Preparation: The Currency Conversion Conundrum Financial consolidation requires standardizing data across multiple entities, often involving complex currency conversions. When rates fluctuate—which they do constantly—financial data may not reflect current market conditions, potentially skewing consolidated results.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost IBM Expert 52

Smart Data Collective

JUNE 26, 2025

There are steps that every organization must take to reduce exposure, such as encrypting sensitive data , requiring multi-factor authentication, and regularly updating systems. You are not alone in facing these challenges, but that doesn’t make the threat any smaller.

Artificial Intelligence 181

Artificial Intelligence Big Data Monitoring Cybersecurity 181

Smart Data Collective

JANUARY 6, 2025

Android users should take advantage of VPNs to safeguard their data from hackers, the government and big tech.

Big Data 261

Big Data Data Requirement Government Data Security 261

Dataversity

JANUARY 25, 2022

With proper Data Management tools, organizations can use data to gain insight into customer patterns, update business processes, and ultimately get ahead of competitors in today’s increasingly digital world. With IDC predicting that there will be 175 zettabytes of data globally by 2025, many solutions have emerged on […].

Data Requirement 130

Data Requirement Data Management Digital Data Architecture 130

Simplilearn

APRIL 29, 2024

Data insights are critical to run the business in today’s world. Running almost all the departments to lead the organization towards growth, finding relevant insights from data requires the presence of best-performing tools. Read More.

Data Visualization 246

Data Visualization Visualization Data Requirement 246

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

QAT Global

AUGUST 23, 2023

This comprehensive guide explores the definition of data requirements, provides real-world examples, and discusses best practices for documenting and managing them throughout the software development lifecycle.

Data Requirement 52

Data Requirement Documentation 52

Smart Data Collective

FEBRUARY 15, 2022

Invest your time in analyzing the data required to help you reach your objectives. Don’t waste a lot of time sorting through supplementary data that won’t give you the actionable insights you need. Another great way to get valuable information is to ask your social media channels.

Big Data 324

Big Data Data Quality Data Requirement Digital 324

Smart Data Collective

AUGUST 11, 2022

While different metrics can be used to determine data quality, accuracy is the primary focus since it is easy to change for different data sets and concerns for decision-makers. Data quality is crucial in Artificial Intelligence and automated decision-making. Conclusion.

Artificial Intelligence 348

Artificial Intelligence Data Quality Digital Transformation Big Data 348

BA Times

APRIL 19, 2023

In this article I want to explore how to integrate data requirements with product features and user stories; the result is some very useful traceability to where a particular data entity or attribute is being used across a product.

Data Modelling 176

Data Modelling Agile Data Requirement Business Analysis 176

Smart Data Collective

OCTOBER 17, 2022

It is detrimental for enterprises to plan an ideal data pipeline architecture while taking into account their key challenges and considerations. Remember that data pipeline architecture should provision all data requirements and resolve any other issues that stem from the data. Addressing The Challenges.

Data Warehouse 363

Data Warehouse Big Data Procurement Data Visualization 363

Smart Data Collective

NOVEMBER 20, 2022

Data center compliance can mean the difference between passing an audit and getting entangled in litigation. Security is also an essential consideration for data centers. For example, healthcare providers who handle sensitive patient data require data centers that are explicitly HIPAA-compliant.

Big Data 304

Big Data Government Healthcare Data Security 304

Smart Data Collective

SEPTEMBER 24, 2021

Both of these options will work if you have the data required to train an accurate model. The two most common ways to use an off-the-shelf machine learning system for sentiment analysis are: Training your own model from scratch; or accessing an API call on a third-party sentiment analysis system.

Artificial Intelligence 350

Artificial Intelligence Customer Experience Customer Experience Data Requirement 350

Smart Data Collective

APRIL 14, 2023

As users can quickly identify patterns, trends, and anomalies in the data, organizations can respond more effectively to market shifts and make more informed business decisions. Customized Views For Different Stakeholders Different stakeholders within an organization have unique data requirements based on their roles and responsibilities.

Business Intelligence 275

Business Intelligence Business Intelligence Big Data Data Visualization 275

Smart Data Collective

NOVEMBER 5, 2023

The data accumulated through the online world of ours needs to be analyzed for businesses to make any sense of it. This data accumulation has increased manifold due to the exponential rise of social media and its usage.

Digital 320

Digital Data Analytics Data Analytics Monitoring 320

Smart Data Collective

SEPTEMBER 21, 2021

The data contained can be both structured and unstructured and available in a variety of formats such as files, database applications, SaaS applications, etc. Processing such kinds of data require advanced technologies from ELT processing to real-time streaming.

Data Management 328

Data Management Government Data Quality Data Discovery 328

Smart Data Collective

JULY 9, 2023

Scalability and Future-Proofing As businesses grow, so does their data volume and complexity. By implementing ETL pipelines, businesses can adapt to evolving data requirements and future-proof their analytics infrastructure. ETL processes offer scalability, allowing organisations to handle large datasets efficiently.

Data Warehouse 263

Data Warehouse Data Quality Data Analytics Data Analytics 263

Analysts Corner

MAY 8, 2023

How data requirements and data analysis impact project success Continue reading on Analyst’s corner »

Data Requirement 130

Data Requirement Business Analysis Business Analysis 130

Simplilearn

JUNE 4, 2021

It provides learners with a comprehensive set of data engineering skills for the era of big data and machine learning. Big Data Requires Data Engineering Data engineers build and ma. This certification program is delivered in partnership with Purdue University. Read More.

Big Data 130

Big Data Data Requirement 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

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

Smart Data Collective

APRIL 15, 2020

Big Data Requires Greater Prudence with File Sharing. Big data advances are changing the art of file sharing. Your data is gold. In many cases, depending on your permissions, P2P users may gain access to all your files. It is one of the easiest ways for malware attacks.

Big Data 238

Big Data Cybersecurity Government Data Requirement 238

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. They include the identification of the potential risk, analysis of its potential effects, prioritizing, and developing a plan on how to manage the risk in case it occurs.

Big Data 226

Big Data Logistics Monitoring Data Analytics 226

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. The third point listed above is one of the biggest struggles that people in the extreme couponing movement face.

Big Data 206

Big Data Data Requirement 206

Actian

SEPTEMBER 12, 2019

As these distributed AI algorithms in edge devices become more sophisticated, persistent data requirements must advance at the same pace to enable the emerging use cases and immersive experiences that the market demands. You can learn more about Actian’s Cloud Data Warehouse here.

Data Requirement 40

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 40

BizAcuity

APRIL 19, 2019

Only, the data required to do this is not so easily available. But there are ways businesses can solve this. That too, efficiently. Think about it, using advanced technologies, we can analyse the users’ behaviour, preferences, actions and so much more.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Smart Data Collective

OCTOBER 17, 2022

All of that data puts a load on even the most powerful equipment. Reports and models stutter as they try to interpret the massive amounts of data flowing through them. If you’re not careful, your engineers’ data requirements may overwhelm your computers’ capacity. Time is precious for most teams of engineers.

Big Data 296

Big Data Government Data Governance Data Warehouse 296

ElegantJ BI

JUNE 19, 2018

Today’s businesses don’t have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users.

Data Warehouse 130

Data Warehouse Data Discovery Data Requirement 130

ElegantJ BI

JUNE 19, 2018

Today’s businesses don’t have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users.

Data Warehouse 130

Data Warehouse Data Discovery Data Requirement 130

ElegantJ BI

JUNE 19, 2018

Today’s businesses don’t have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users.

Data Warehouse 130

Data Warehouse Data Discovery Data Requirement Business Intelligence 130

Christian Steven

AUGUST 23, 2023

Every concept or process, from evaluating a marketing campaign to developing a new product, all of these projects require metrics to gauge effectiveness and results. But transforming raw data requires an additional step. And what you need is a solution that allows for data visualization.

Data Visualization 98

Data Visualization Visualization Data Requirement 98

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. Or a marketing dashboard may strive to answer, “How can we optimize our marketing investments?” Finding this core problem can give you the logic and argument for discarding extraneous information.

Data Requirement 134

Data Requirement 134

ElegantJ BI

DECEMBER 11, 2019

This analytical agility will help them to see data clearly and gain insight and, while these tools may not produce 100% accuracy in the hands of a business users, there are many times throughout the work day where users need good, solid information but do NOT need strategic, analytical information that is 100% accurate.

Data Quality 130

Data Quality Agile Innovation Visualization 130

ElegantJ BI

DECEMBER 11, 2019

This analytical agility will help them to see data clearly and gain insight and, while these tools may not produce 100% accuracy in the hands of a business users, there are many times throughout the work day where users need good, solid information but do NOT need strategic, analytical information that is 100% accurate.

Data Quality 130

Data Quality Agile Innovation Visualization 130