Cprime

MARCH 21, 2024

Enterprise Architecture Management (EAM) FAQs addressed in this article: What is the role of Enterprise Architecture Management in IT investment? How does Enterprise Architecture Management enhance business outcomes? What challenges does Enterprise Architecture Management address in measuring IT value?

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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.

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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

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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

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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

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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. . Lack of Long Term Planning. Technology Shift.

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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

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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

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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. Lamb questions. This is easier said than done.

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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

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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

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