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

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

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

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

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 285

Big Data Data Quality Data Requirement Digital 285

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 282

Big Data Government Healthcare Data Security 282

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 329

Artificial Intelligence Data Quality Digital Transformation Big Data 329

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 278

Digital Data Analytics Data Analytics Monitoring 278

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

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 218

Business Intelligence Business Intelligence Big Data Data Visualization 218

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 223

Data Warehouse Data Quality Data Analytics Data Analytics 223

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

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 331

Data Warehouse Big Data Procurement Data Visualization 331

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

The BAWorld

NOVEMBER 7, 2024

Managing and arranging the business data required to document the success or failure of a given solution is a challenging task. From the beginning to the end, maintaining control and retaining requirements and design knowledge. Identifying and evaluating the value that each offered solution model offers.

Business Analysis 98

Business Analysis Business Analysis Requirements Life Cycle Management Design Definition 98

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 iterative, example-based approach also helps validate assumptions and clarify expectations, ensuring that the entire team is aligned.

Agile 52

Agile Business Analysis Business Analysis Vision 52

Business Analysis Hub

AUGUST 22, 2023

Analyse data requirements : Assess the data required to build your AI solution. This includes data collection, storage, and analysis. Here are some key steps to take: Identify business problems and opportunities: Determine which areas can be improved with AI and the potential value it will bring.

Artificial Intelligence 52

Artificial Intelligence Monitoring Customer Experience Customer Experience 52

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 312

Artificial Intelligence Customer Experience Customer Experience Data Requirement 312

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

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

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

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

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

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

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 271

Data Management Government Data Quality Data Discovery 271

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Technical Assets .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

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 214

Big Data Cybersecurity Government Data Requirement 214

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

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 275

Big Data Government Data Governance Data Warehouse 275

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