Latest articles for Tech Target

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 of…

Data visualization in machine learning boosts data scientist analytics

Data visualization in machine learning boosts data scientist analytics

Before using data visualization in machine learning, General Electric Power would always manage its financial workflows in a manual, time-consuming, labor-intensive manner. Business process analysts…

Salesforce acquisition of Tableau likely to bring changes

Salesforce acquisition of Tableau likely to bring changes

In August 2019, Salesforce, a leading cloud-based customer relationship management platform, bought Tableau for $15.3 billion. Tableau is known for its user interface and data…

How enterprises navigate GDPR data management rules

How enterprises navigate GDPR data management rules

SNP Group, a software company based in Germany, is square in the crosshairs of Europe’s General Data Protection Regulation, which went into effect in 2018.…

Deep learning and neural networks gain commercial footing

Deep learning and neural networks gain commercial footing

The news these days is full of stories about AI. Lately, we’re seeing how deepfake techniques create altered and convincing videos, photos or audio of…

More to machine learning platforms than meets the AI

More to machine learning platforms than meets the AI

Evidence is mounting that AI is moving out of the shadows of predominantly niche applications and into the mainstream spotlight. And as companies transition from…

Today’s top data pipeline management challenges

Today’s top data pipeline management challenges

One of the issues is that existing analytics and data science platforms aren’t always suited for today’s modern machine learning applications. They’re often not agile…

6 tips for effective customer data mining

6 tips for effective customer data mining

Retail and marketing organizations are collecting massive amounts of data on customers, but they’re not always getting all the use out of this information that…

Computer vision AI looks beyond the narrow into the mainstream

Computer vision AI looks beyond the narrow into the mainstream

A variety of applications for computer vision tools are starting to emerge — driven by a combination of imagination and practicality. Across industries like healthcare,…

Analytics an uneasy balance between data collection and privacy

Analytics an uneasy balance between data collection and privacy

Advanced analytics, BI and AI are booming and can potentially offer great business benefits, but these technologies are extremely data hungry. Meanwhile, GDPR and other…

Data science platforms boost automation, collaboration

Data science platforms boost automation, collaboration

Data science platforms can help teams of data scientists collaborate on advanced analytics problems, allow them to pull in data from disparate sources, and choose…