CIO Business Intelligence

MARCH 9, 2022

Organizations are increasingly trying to grow revenue by mining their data to quickly show insights and provide value. In the past, one option was to use open-source data analytics platforms to analyze data using on-premises infrastructure. Cloudera and Dell Technologies for More Data Insights.

Data-driven 93

Data-driven Analytics Machine Learning Optimization 93

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Big Data Technologies and Architectures.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Cloud Management

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 96

Data Lake Data Warehouse Machine Learning Cost-Benefit 96

CIO Business Intelligence

MARCH 14, 2022

For a detailed look at how the right technology can help turn your organization’s real-time data into revenue, check out the 4 Tips for Processing Real-Time Data paper and watch the webinar. . Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Data Processing 113

Data Processing Optimization Deep Learning Software 113

CIO Business Intelligence

APRIL 26, 2022

Can your team continuously compare a billion data points to answer these questions? Big data analytics can hone your focus on relevant threat intelligence. To make threat intelligence relevant and actionable, you need a big data solution. Not likely. Hugh Njemanze Anomali.

IT 97

IT Big Data Risk Enterprise 97

Sisense

FEBRUARY 1, 2021

As we clarify the functional distinction between the two types of frameworks and summarize the rationale for choosing one or the other, an exciting new event in the evolution of product life cycle management emerges: The application of machine-learning-based (ML) analytics is sharpening PLM frameworks.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. And most importantly, what can this do for your business? Using analytic methods is not new.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

BI-Survey

AUGUST 2, 2020

Depending on the data you provide, you will be visible in one, two or all three browser objects. Additionally, the website includes a (non-technical) blog about market developments in the Power BI ecosystem and an overview of webinars around the Power BI platform as well as some helpful links. How is the powerBImap funded?

Consulting 52

Consulting Visualization Dashboards Marketing 52

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? Organizations need to recast storing their data.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

DataKitchen

NOVEMBER 20, 2021

Errors are an inherent part of data analytics. The product for a data engineer is the data set. For an analyst, the product is the analysis that they deliver for a data object. To learn more about the role of a DataOps Engineer, watch the on-demand webinar, A Day in the Life of a DataOps Engineer.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. About the Author. Priyanjna Sharma.

Testing 152

Testing Metadata Dashboards Statistics 152

CDW Research Hub

SEPTEMBER 15, 2020

Learn more about building a modern data platform by watching our on-demand webinar, Building a Best-of-Breed Data Platform , where we will demonstrate how to create a modern data platform using Snowflake, Matillion and ThoughtSpot. Contact us and one of our data platform modernization experts will reach out to you.

Business Intelligence 52

Business Intelligence Prescriptive Analytics Unstructured Data Data Warehouse 52

Sisense

DECEMBER 13, 2021

To thrive in the age of accelerated digital, modern financial institutions need access to actionable business intelligence. It’s what allows them to unlock the full power of their data and make informed decisions. But, many don’t know where to begin or how exactly to work with their data to their optimal benefit.

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

Depict Data Studio

SEPTEMBER 17, 2019

Then, join me and your fellow students live webinars twice each month. This training program is about classic data visualization principles? David has extensive experience working with claims data, including for Medicaid, Medicare, and Commercial lines of business. Pause the videos. What’s Included. well paced.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Jet Global

APRIL 24, 2024

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? How does AI impact analytics and how do you get started? Ready to learn more?

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

DECEMBER 4, 2023

Deployment and integration – ISVs wanting to embed BI and analytics capabilities into their applications frequently find it hard to deliver the seamless experience their end users expect. Blueprint to Modern Analytics: Starting your analytics modernization project with a blueprint gives you a high probability of success.

Analytics 52

Analytics Reporting Dashboards Software 52

Jet Global

MAY 20, 2022

It’s best to present them with everything they need from the get-go, like: Real-time Data. Business Intelligence. Get the guidance you need by finding a partner who knows the ins and outs of advanced analytics. Dashboards. Self-Reporting. Automation. Security Benefits. Drilldown/Up Capabilities. Advanced Reporting.

Big Data 52

Big Data Sales Reporting Marketing 52

Jet Global

APRIL 14, 2022

Some functional areas use business intelligence and data visualization tools, but operate in isolation with their own data sets, driving decisions related to that function only. 30% Siloed. 33% Reactive.

Data Collection 52

Data Collection Management Finance Reporting 52

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. CRM, ERP, EHR/EMR) or portals (e.g., It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MARCH 23, 2023

Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. Some organizations tightly control access to their data, which can frustrate users who want to run their own queries to combine data sets or create dashboards from a single set of data.

Dashboards 52

Dashboards Reporting Key Performance Indicator Interactive 52

Jet Global

MAY 6, 2022

Business intelligence empowers businesses to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. Data models must be refreshed either manually or on a set schedule. Complementing Your Business Intelligence.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52

Jet Global

SEPTEMBER 30, 2022

Use packaged ETL for Oracle business applications and an open interface to integrate data with existing business intelligence. Auto-generation technology speeds up the process of populating reporting tools and worksheets with the business content necessary to gain meaningful business intelligence in less time and cost.

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52

Jet Global

AUGUST 27, 2021

Perhaps just as importantly, we designed Jet Reports and Jet Analytics to perform a full range of operational financial reporting tasks, as well as advanced analytical tasks. Jet Analytics is a robust Business Intelligence (BI) solution that complements Jet Reports with a data warehouse and advanced analytics capabilities.

Reporting 98

Reporting Recreation/Entertainment Data Warehouse Dashboards 98