Latest articles for Tech Target

Do traditional data stacks have a use versus modern options?

Do traditional data stacks have a use versus modern options?

Traditional data stacks lack the flexibility and scalability that cloud technology provides the modern data stack. However, on-premises data stacks can hold several benefits over…

Advanced analytics challenges limit analytics, AI benefits

Advanced analytics challenges limit analytics, AI benefits

Generative AI is poised to transform many facets of data and analytics, but it won’t provide the value organizations expect if their data management practices…

Real-time analytics presents challenges to unlock benefits

Real-time analytics presents challenges to unlock benefits

Real-time analytics tools promise faster insights and improved business processes, but they also pose challenges to organizations adopting them. As use of real-time analytics grows…

4 data quality challenges that hinder data operations

4 data quality challenges that hinder data operations

Data quality is key for any organization utilizing data for operations, and it starts with mitigating data quality challenges that lead to inaccurate or misleading…

6 dimensions of data quality boost data performance

6 dimensions of data quality boost data performance

Artificial intelligence and machine learning can generate quality predictions and analysis, but first require organizations be trained on high quality data, starting with the six…

Traditional BI vs. self-service BI shouldn’t be a choice

Traditional BI vs. self-service BI shouldn’t be a choice

Traditional vs. self-service business intelligence doesn’t have to be an either-or choice. Both bring different tools and benefits to organizations. Many organizations are leaving value…

Why businesses should know the importance of data quality

Why businesses should know the importance of data quality

Organizations can harness great benefits from data, but understanding the importance of data quality, trust and avoiding bias allows them to make decisions and create…

Top 5 elements needed for a successful data warehouse

Top 5 elements needed for a successful data warehouse

As companies strive for a unified view of their customers and other key corporate data, many turn to data warehouses as a place to keep…

The benefits of embedded analytics

The benefits of embedded analytics

Traditional business intelligence platforms are designed to be used by expert users, data scientists or statisticians. These valuable employees wind up spending too much time…

7 top predictive analytics use cases: Enterprise examples

7 top predictive analytics use cases: Enterprise examples

Predictive modeling helps companies optimize their internal operations, improve customer satisfaction, manage budgets, identify new markets and anticipate the impact of external events, among other…

Data warehouses and holistic business intelligence

Data warehouses and holistic business intelligence

Business intelligence is the process of analyzing company data to better understand that data, spot anomalies or trends and make predictions. It’s possible to do…

Top 5 enterprise augmented analytics benefits

Top 5 enterprise augmented analytics benefits

Augmented analytics is the use of machine learning and natural language processing to enhance data analytics, data sharing and business intelligence. The benefits of augmented…

Citizen data scientist training for augmented analytics

Citizen data scientist training for augmented analytics

Even as companies invest heavily in digital transformations and become more data-driven, there’s a dramatic shortage of data scientists. According to QuantHub, there was a…

6 reasons you may need data science as a service

6 reasons you may need data science as a service

Data science as a service, or DSaaS, has been old news for a while, but it has become a hot topic once again. In March,…

The top 4 self-service BI benefits for enterprises

The top 4 self-service BI benefits for enterprises

Business intelligence tools were once the domain of only business analysts with the quantitative and analytics backgrounds to make full use of BI capabilities. And…

Top 5 enterprise graph analytics use cases

Top 5 enterprise graph analytics use cases

Traditional relational databases are good at managing clear and simple relationships: This invoice contains these line items. This loan application contains this set of documents.…

Decision intelligence software boosted by analytics, AI

Decision intelligence software boosted by analytics, AI

According to Gartner, more than a third of large organizations will have analysts practicing decision intelligence by 2023. This is the next step for organizations…

Why ethical use of data is so important to enterprises

Why ethical use of data is so important to enterprises

The ethical use of data goes deeper than simple regulatory compliance. Enterprises are waking up to a new reality in which consumers — and even…

Enterprise analytics benefits of natural language processing

Enterprise analytics benefits of natural language processing

When Siri and Alexa fail to understand their user, it may be funny or at worst annoying. In an enterprise setting, a failure of natural…

Top 5 predictive analytics use cases in enterprises

Top 5 predictive analytics use cases in enterprises

Many enterprises can benefit from using predictive modeling. As the technology gets more accurate, easier to use and cheaper, the benefits of this type of…

Why more employees need data literacy skills

Why more employees need data literacy skills

Research shows that data-driven organizations are more successful, but employees often lack needed data literacy skills. According to a 2020 survey by Sapio Research, 80%…

Overcoming the top 3 analytics adoption challenges

Overcoming the top 3 analytics adoption challenges

Analytics is key to making smart business decisions, but not every analytics adoption project succeeds. And the more significant the project, the greater the obstacles.…

Benefits of embedded BI and customizable analytics

Benefits of embedded BI and customizable analytics

Mighty nice enterprise application you’ve got there, shame it doesn’t have any interactive visualizations and your users are going blind from staring at rows and…

Data scientist vs. machine learning engineer careers

Data scientist vs. machine learning engineer careers

Whether you’re newly entering the workforce, have been recently laid off, are worried about keeping your current job or have been temporarily furloughed and have…

The most important soft skills for data scientist jobs

The most important soft skills for data scientist jobs

Jeff Herman is not a locomotives expert. His background is in math and engineering, followed by additional study in data science. But when he was…

Key considerations for choosing embedded analytics tools

Key considerations for choosing embedded analytics tools

Rajesh Gill has just a couple of people to help him manage analytics for a billion-dollar product. For the associate director of forecasting and business…

Top embedded analytics examples in enterprise applications

Top embedded analytics examples in enterprise applications

End users increasingly want more from their applications. If they see a data dashboard, they want to be able to work with the data –…

3 of the top use cases for graph databases

3 of the top use cases for graph databases

The typical image that springs to mind when you hear the word database is probably a table where each row is a separate record and…

Ethical data collection in the spotlight over new regulations

Ethical data collection in the spotlight over new regulations

The California Consumer Privacy Act went into effect at the beginning of the year and enforcement will begin this summer. But certain Californians aren’t waiting…

The most in-demand data science skills you need

The most in-demand data science skills you need

According to this month’s LinkedIn U.S. “Emerging Jobs Report,” data scientists had the third largest annual growth, with 37%, and have been at the  top…