Smarten

APRIL 20, 2020

Advanced analytics is an aspect of data science, leveraging sophisticated algorithms, methodologies and tools to understand trends, and patterns, and predict future results. As this industry has evolved, advanced analytics technologies have incorporated machine and comprehensive visualizations to analyze and view data.

Analytics 67

Analytics Visualization Data Science Analytics Technologies 67

CIO Business Intelligence

APRIL 1, 2022

Consider that it may be easier to make one big decision well, rather than hundreds of smaller decisions that each have different payouts and risks. For example, buying stock in one company involves determining which stock will provide the best results, balanced with risk. Visualization for New Insights.

Data-driven 88

Data-driven Deep Learning Risk Optimization 88

CIO Business Intelligence

APRIL 6, 2022

In this way, AIOps frees up decision makers to focus on larger business issues, as well as provides them with clear visual information. The risks of a breach are greater as well, from interrupted operations to stiff financial penalties for failing to adhere to industry regulations such as General Data Protection Regulation (GDPR).

Data mining 71

Data mining Deep Learning Insurance Digital Transformation 71

Smarten

DECEMBER 3, 2023

Solution Capabilities The best Augmented Analytics solutions provide a) sophisticated features, b) an easy-to-use user interface and navigation that is suitable for all team members, c) scalable technology and a high-performance environment that is easy to manage and upgrade.

Analytics 40

Analytics Predictive Modeling Cost-Benefit Visualization 40

Smarten

NOVEMBER 26, 2023

Find out how business intelligence and analytics technology can improve your enterprise, improve business user data literacy, and ensure analytical clarity and results with seamless, intuitive business intelligence and reporting.’ In this article, we will discuss the benefits of implementing BI tools within your organization.

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Smart Data Collective

AUGUST 4, 2022

Data analytics technology has changed many aspects of the modern workplace. One of the most important benefits of data analytics is that it can help companies monitor employee performance and provide more accurate feedback. The authors state that data analytics saves managers time and reduces the risk of inadvertent bias.

Data-driven 128

Data-driven Metrics Software Data Collection 128

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. However, don’t be deceived – just as you don’t need to be a literal startup to gain a lot of value from Eric Ries’ work, companies of all sizes and shapes can learn a lot of valuable information from “Lean Analytics”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

JUNE 30, 2023

The team brings deep domain expertise in digital, B2B, B2C, analytics, technology, mobile, marketing automation, and UX/UI domain. Our integrated campaigns are powered by cutting-edge content creation, digital advertising, web design/development, marketing automation, and analytics.

Marketing 52

Marketing Dashboards Advertising ROI 52

IBM Big Data Hub

JULY 24, 2023

The goal is to address the underlying issue while determining if other software or systems are at risk of failure, as well. IT operations analytics technologies IT operations analytics (ITOA) contains several key tools, processes and technologies, all of which work together to produce value within the organization.

IT 57

IT Analytics Cost-Benefit Predictive Analytics 57

Birst BI

OCTOBER 30, 2018

Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smart Data Collective

JANUARY 14, 2021

When you have a good workflow, you’ll see how to subdivide projects based on the risk of issues before they come up. A lot of new predictive analytics models use data from previous projects to identify future problems. Great hardware is essential if you want to use the latest data analytics technology.

Data-driven 68

Data-driven Big Data Machine Learning Technology 68

Smarten

DECEMBER 3, 2023

Augmented analytics can help the business to improve revenue and to discover product and service opportunities and gain insight into issues to resolve problems before they create risk. Unscrambl highlights a few of the ways major businesses have used analytics to help improve competitive positioning and to solve problems.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Jet Global

FEBRUARY 21, 2024

Embedded analytics technology with features like customizable dashboards offer leadership and non-technical users to translating data insights into action. Predictive analytics use an organization’s historical data to find patterns and predict future outcomes, putting users in a strategic position to make better business decisions.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

Jedox

OCTOBER 31, 2019

In addition, the automated process reduces risk and minimizes errors – resulting in consistent, accurate, and fast financial reporting.

Software 40

Software Finance Reporting Risk 40