Data Related Topics 
Scrum.org
DECEMBER 6, 2023
Matt Dominici , PST and founder of Impact Agility walks you through installing Actionable Agile in your Jira Cloud instance, how to import your Jira Data for the first time, and some tips on how to filter your data to get the most out of the tool right away. ? Subscribe to the channel for more: [link] ?
Scrum.org
APRIL 26, 2021
TL; DR: Data-Informed Retrospectives. The second stage refers to gathering data so that the Scrum Team can have data-informed Retrospectives. As I have observed in practice, many Scrum Teams either limit the data gathering part of the Retrospective, thus lacking vital information. Source : Scrum Guide 2020.
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ProjectManager.com
OCTOBER 12, 2021
We’ve heard you: users with the Admin role want more control and access over data associated with their organization’s account. The new Global Admin role gives exactly that—more visibility and control into your data that, previously, was only available to the Account Holder. New Security Role: Global Admin.
nTask
JULY 15, 2021
Collecting and organizing data especially when you are a behemoth of a company, is tremendously difficult. No one wants to input data day in and day out, of so many different projects in the company’s roster. 7 Data Entry Tools to Use in 2021. Data import/ export. Stay on top of all project data, only with nTask.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.
Musings on Project Management
FEBRUARY 17, 2022
The first rule of data: Don't ask for data if you don't know what you are going to do with it Or, said another way (same rule) Don't ask for data which you can not use or act upon. And, your reaction might be: Of course!
Musings on Project Management
JULY 5, 2021
You can't have too much data. Actually, not correct.The first rule of data: Don't ask for data if you don't know what you are going to do with it Or, said another way (same rule) Don't ask for data which you can not use or act upon And, your reaction might be: Of course! My experience: In the PMO there.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Think your customers will pay more for data visualizations in your application? Download the whitepaper to learn about Monetizing Analytics Features, and Why Data Visualizations Will Never Be Enough. Five years ago they may have. But today, dashboards and visualizations have become commonplace.
Advertiser: ZoomInfo
Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?
Advertiser: ZoomInfo
In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. reporting that technographic data is either somewhat important or very important to their organization. In fact, the majority of respondents agree—with 72.3%
Advertiser: ZoomInfo
That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.
Speaker: Sunil Parekh, Head of Product Management, SimplyInsured
Data can be qualitative or quantitative, and comes from multiple sources: customer interviews, product usage & funnel analytics, company financial performance, and internal stakeholders. How do you use that data to create a product roadmap that is aligned with your organization’s business objectives?
Advertiser: ZoomInfo
64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.
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