Dataversity

NOVEMBER 22, 2021

Did you know that only one-third of us can confidently understand, analyze, and argue with data? That’s the essential question posited by the Data Literacy Project, an organization that wants to “ignite discussion and develop the tools we need to shape a successful, data-literate society.”

Data Governance 130

Data Governance Data Quality Government 130

ElegantJ BI

SEPTEMBER 25, 2020

Self Service Data Preparation Takes the Complexity Out of Data Prep! When asked about using an analytical solution to find and use data and make decisions, many business users feel insecure about the process required to get to the results. Original Post: Self-Serve Data Prep Speeds Data Analytics!

Data Analytics 130

Data Analytics Data Analytics Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 25, 2020

Self Service Data Preparation Takes the Complexity Out of Data Prep! When asked about using an analytical solution to find and use data and make decisions, many business users feel insecure about the process required to get to the results. Original Post: Self-Serve Data Prep Speeds Data Analytics!

Data Analytics 130

Data Analytics Data Analytics Business Intelligence Business Intelligence 130

ElegantJ BI

SEPTEMBER 25, 2020

Self Service Data Preparation Takes the Complexity Out of Data Prep! When asked about using an analytical solution to find and use data and make decisions, many business users feel insecure about the process required to get to the results. Original Post: Self-Serve Data Prep Speeds Data Analytics!

Data Analytics 130

Data Analytics Data Analytics 130

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

ElegantJ BI

OCTOBER 6, 2020

Planning for Citizen Data Scientists & Augmented Analytics Initiatives When a business chooses to follow the guidance of Gartner and embrace the Citizen Data Scientist initiative to transform business users and provide analytical tools for all team members, it must approach the initiative with appropriate planning.

Planning 130

Planning Digital Transformation Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 6, 2020

Planning for Citizen Data Scientists & Augmented Analytics Initiatives When a business chooses to follow the guidance of Gartner and embrace the Citizen Data Scientist initiative to transform business users and provide analytical tools for all team members, it must approach the initiative with appropriate planning.

Planning 130

Planning Digital Transformation Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 6, 2020

Planning for Citizen Data Scientists & Augmented Analytics Initiatives. When a business chooses to follow the guidance of Gartner and embrace the Citizen Data Scientist initiative to transform business users and provide analytical tools for all team members, it must approach the initiative with appropriate planning.

Planning 130

Planning 130

Simplilearn

MAY 27, 2021

The data scientist is a new key player in organizations — a new breed of analytical data experts. They are part mathematicians, part computer scientists, ruling the world of big data. Businesses are now wrestling with volumes of unstructured information that’s a virtual gold mine, which can help boost revenue when unearthed.

Big Data 182

Big Data 182

Simplilearn

APRIL 26, 2021

With the world of data rapidly expanding, it is becoming increasingly essential to get the right data to be organized for analysis. Business users rely on data and information to make just about every business decision. Hence, it is important to make raw data usable for analytics. Read More.

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Simplilearn

JUNE 7, 2021

Data has changed the face of our world over the last ten years. quintillion bytes of data generated daily across the world. Businesses, both large and small, deal with massive data volumes, and a lot depends on their ability to glean meaningful insights. Read More.

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147

Simplilearn

APRIL 16, 2021

Data has changed the face of our world over the last ten years. quintillion bytes of data generated daily across the world. Businesses, both large and small, deal with massive data volumes, and a lot depends on their ability to glean meaningful insights. Read More.

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The Data Administration Newsletter

OCTOBER 5, 2021

Data is the raw material for any type of analytics – whether it is related to historical analysis presented in reports and dashboards by business analysts, or predictive analysis that involves building a model by data scientists that anticipates an event or behavior that has not yet occurred.

Government 69

Government Data Governance Data Management 69

Dataversity

APRIL 15, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals.

Data Management 146

Data Management Data Architecture 146

Simplilearn

FEBRUARY 21, 2024

Security and privacy are the essential requirements of developing and deploying AI systems, which is considered the main problem. The risk of data security and privacy violation. Read More.

Artificial Intelligence 264

Artificial Intelligence Data Security 264

Analysts Corner

OCTOBER 26, 2023

This time, we’ve got a collection of stories about business analysis, data, agile, and product and project management. But we also cover the topics of requirements gathering and asking the right questions, lessons learned from replacing a legacy solution (part 3!) You need some requirements even to build that first prototype.

Enterprise Architecture 130

Enterprise Architecture Requirements Gathering Business Analysis Business Analysis 130

Smart Data Collective

JANUARY 30, 2024

Data analytics technology has been invaluable for businesses in all sectors in recent years. In a fast-paced world where data is everything, it is imperative to manage it tactfully to get the best results when required. Using data efficiently in the insurance industry is crucial. The insurance sector is no exception.

Data Analytics 219

Data Analytics Data Analytics Big Data 219

Dataversity

SEPTEMBER 25, 2023

In an era where large language models (LLMs) are redefining AI digital interactions, the criticality of accurate, high-quality, and pertinent data labeling emerges as paramount. That means data labelers and the vendors overseeing them must seamlessly blend data quality with human expertise and ethical work practices.

Data Quality 258

Data Quality Digital Data Governance Government 258

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. Data Type and Processing.

Data Warehouse 349

Data Warehouse Artificial Intelligence Data Management Planning 349

Smart Data Collective

OCTOBER 3, 2023

Healthcare providers are investing more heavily in big data technology, as they strive to deal with growing challenges such as declining operating margins and an increasingly complex regulatory environment. However, many healthcare providers lack the technology or knowledge to use data prudently. This is where RN coders come in.

Healthcare 278

Healthcare Big Data Government Data Analytics 278

Smart Data Collective

AUGUST 11, 2022

For the successful collaboration between machines and humans, humans are required to carry out three crucial roles: Training the machines to carry out specific roles. Artificial Intelligence, in turn, needs to process data to make conclusions. How Artificial Intelligence is Impacting Data Quality. Elimination of Human Mistakes.

Artificial Intelligence 314

Artificial Intelligence Data Quality Digital Transformation Big Data 314

Smart Data Collective

DECEMBER 19, 2021

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process.

Data Mining 330

Data Mining Banking Artificial Intelligence Data Modelling 330

Smart Data Collective

NOVEMBER 5, 2023

Data analytics has become a useful field that is helping businesses across the globe achieve their targets and objectives within a given budget. The data accumulated through the online world of ours needs to be analyzed for businesses to make any sense of it. Such data is immensely important to formulate a winning strategy.

Digital 252

Digital Data Analytics Data Analytics Innovation 252

Dataversity

FEBRUARY 9, 2024

Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources.

Data Analytics 146

Data Analytics Data Analytics Data Architecture 146

Dataversity

FEBRUARY 14, 2024

The volume of data now available to businesses continues to grow exponentially. When looking to extract valuable insights into their business’s performance, C-level executives (CxOs) must navigate the big data blank canvas.

Big Data 146

Big Data Data Modelling Data Quality 146

BA Times

NOVEMBER 8, 2023

“Data is everywhere, but it requires CONTEXT and accessibility to be useful…” This compelling statement by Symphony Logic immediately caught my attention. appeared first on Business Analyst Articles, Webinars, Templates, Jobs.

Business Analysis 203

Business Analysis Business Analysis 203

Smart Data Collective

DECEMBER 15, 2022

Data analytics is not a new term, as it’s the same as interpreting information. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions. How Are Analytical Insights Formed From Business Data? Data Collection. Visualization of Data.

Data Analytics 282

Data Analytics Data Analytics Visualization Big Data 282

Smart Data Collective

SEPTEMBER 13, 2023

Data analytics technology has been instrumentally valuable for the marketing profession. One of the biggest ways that data analytics is changing marketing is that it can help with marketing research. Last month, we talked about the merits of using data analytics to get a better understanding of your competitors.

Data Analytics 244

Data Analytics Data Analytics Supply Chain Real-time Data 244

Smart Data Collective

MAY 4, 2023

We have talked at length about the importance of taking the right steps to stop data breaches. Unfortunately, there are often many weak links in the data security infrastructure, which can increase the risks of data breaches. The drop in data breaches may be due to increased awareness of cybersecurity issues during the pandemic.

Data Security 187

Data Security Supply Chain Monitoring Cybersecurity 187

Timo Elliott

MAY 18, 2023

And just like sketching an owl, that’s a BIG step that requires a lot of skill. That requires getting the right data in the first place, actually using the algorithms as part of a scaleable, reliable, compliant, ethical, usable business process, and then ensuring that people actually use it!

Artificial Intelligence 255

Artificial Intelligence Documentation 255

Dataversity

APRIL 14, 2023

There’s no better time than right now to be a data scientist. Despite recent large-scale layoffs in major tech firms, the future is bright for data managers, analysts, data wranglers, and consultants. In fact, the number of jobs requiring Data Science skills is expected to grow by 27.9%

Data Management 246

Data Management Data Visualization Visualization 246

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Pharmaceutical 318

Pharmaceutical Big Data Documentation Data Analytics 318

Smart Data Collective

NOVEMBER 24, 2022

The demand for AI and data science professionals is growing all over the world. Many data scientists are pursuing careers in Europe and Asian, which means that they have to be aware of the opportunities and requirements abroad. Italy is one of the most promising countries for people seeking careers in data science.

Big Data 272

Big Data Supply Chain Documentation Innovation 272

Smart Data Collective

APRIL 20, 2023

Data reporting is often a requirement for large corporations, but traditionally it’s been related to finances. Many companies need to report accurate financial data to keep them accountable to their stakeholders and customers. Note the rollout phases The European Commission is rolling out compliance requirements in three phases.

Finance 215

Finance Digital Government 215

Smart Data Collective

MAY 7, 2023

This challenge becomes particularly pronounced for companies that manage extensive reservoirs of data. Cloud-based record-keeping solutions have advanced features like data protection and easy accessibility which have enabled efficient and secure record-keeping services. Cloud record-keeping services would therein come in handy.

Cloud Computing 261

Cloud Computing Documentation Banking Government 261

Smart Data Collective

NOVEMBER 10, 2021

These days, almost every organization relies on huge quantities of data to run day-to-day operations. There are times when projects may require you to convert or migrate data , depending on whether it’s moving from one system to another or from several databases into one. What Is Data Conversion? Data Conversion Process.

Planning 286

Planning Big Data 286