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 294

Big Data Government Healthcare Data Security 294

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 340

Data Warehouse Big Data Procurement Data Visualization 340

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 322

Artificial Intelligence Customer Experience Customer Experience Data Requirement 322

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 291

Digital Data Analytics Data Analytics Monitoring 291

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

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 283

Data Management Government Data Quality Data Discovery 283

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 232

Business Intelligence Business Intelligence Big Data Data Visualization 232

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

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 235

Data Warehouse Data Quality Data Analytics Data Analytics 235

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

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 8

Data Requirement Artificial Intelligence Data Warehouse Cloud Computing 8

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 217

Big Data Cybersecurity Government Data Requirement 217

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 288

Big Data Government Data Governance Data Warehouse 288

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

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 169

Big Data Data Requirement 169

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 183

Big Data Logistics Monitoring Data Analytics 183

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 Data Requirement 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 Data Requirement 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 Data Requirement 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 86

Data Visualization Visualization Data Requirement 86

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

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 80

Documentation Data Requirement 80

Bridging the Gap

SEPTEMBER 7, 2023

Information or Data Requirements Documentation One fifth and final type of requirements documentation, and that is to capture the information or data requirements. There are a few common types of data requirements documentation. The last thing I want to show you is called the data dictionary.

Documentation 98

Documentation Business Analysis Business Analysis Data Requirement 98

ElegantJ BI

OCTOBER 1, 2020

But, businesses do not 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 Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 1, 2020

But, businesses do not 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 Discovery 130

Data Discovery Data Warehouse Government Business Intelligence 130

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?

Big Data 130

Big Data Retail Customer Experience Customer Experience 130

Smart Data Collective

OCTOBER 26, 2019

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. Furthermore, data backups take time and with data lakes, this time could run into the dozens, even hundreds of hours depending on the volume of data required.

Big Data 117

Big Data Data Requirement Data Management 117

Analysts Corner

OCTOBER 26, 2023

Implementing a successful BI system requires careful planning, a clear understanding of your organization’s data requirements, and the selection of the right tools and technologies, ensuring that your BI system supports your overall business goals and strategies.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Analysts Corner

OCTOBER 17, 2023

By understanding the techniques, applications, tools, and benefits of data mining, organizations can effectively leverage this technology to gain a competitive edge in today’s data-driven business landscape.

Data Mining 130

Data Mining Retail Healthcare Portfolio Management 130

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.

Documentation 73

Documentation Data Requirement Monitoring 73