Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Cprime

MARCH 7, 2024

– Other notable challenges in Agile adoption include siloed teams causing delays (17%), clashes with company culture (14%), the inability to measure the value to the business (12%), and broken processes (11%). However, the journey towards becoming a truly agile enterprise is fraught with challenges and complexities.

Agile 98

Agile Innovation Digital Transformation Vision 98

Cprime

JULY 2, 2021

In the previous articles in this series, we’ve discussed the dangers of “imitation” lean portfolio management (LPM) , the steps required to set up effective LPM in your organization, and the importance of connecting all levels of the organization, so there are no gaps in your data. What Features Make Jira Align Perfect for LPM?

Portfolio Management 52

Portfolio Management Monitoring Real-time Data Agile 52

Domo

SEPTEMBER 5, 2023

Imagine a data experience powered by artificial intelligence that’s built by a company with heritage in this industry. Your company’s data never leaves your hands. Instead of simply wiring up OpenAI to the user experience… AI is responsibly embedded into fabric of your business—and the capabilities develop alongside you.

Vision 119

Vision Artificial Intelligence Government Healthcare 119

Astera

AUGUST 8, 2023

While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Marutitech

OCTOBER 19, 2021

The Software-Industry veteran and the author of Agile Software Requirements, Dean Leffingwell, called the SAFe framework “ Agile Enterprise Big Picture.” Even most experienced Agile software developers and forward-thinking enterprises face trouble while scaling Agile. . Moreover, SAFe can reduce the time to market by at least 40%.

Agile 52

Agile Planning Innovation Project Management 52

Domo

FEBRUARY 10, 2021

What’s more, we need it to generate insights that humans can easily understand and truly trust, which means data integration and self-service must be important parts of the fabric, as well. We’ll never get to find out just how much more value there is in data when it’s democratized and actionable.

Digital Transformation 98

Digital Transformation Data Governance Government Digital 98

Domo

MARCH 9, 2021

They have to submit requests to data engineers and IT to push the data into OLAP cubes or other designated environments so it fits within security and governance guidelines. Waiting for this data extends the time it takes to package the data into insights that can help deliver cost savings or make predictions to drive revenue growth.

Government 52

Government Data Governance Data Warehouse Finance 52

Sisense

MARCH 25, 2020

Data-driven decision making and AI empower workforces. According to Mckinsey Global Institute , data-driven organizations are not only 23 times more likely to acquire customers, but they’re also 6 times as likely to retain customers, and 19 times more likely to be profitable. This is no mean feat. Lamb questions.

Data Analytics 69

Data Analytics Data Analytics Big Data Vision 69

Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges. What are Data Aggregation Tools?

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Data Pine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84