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Becoming a Data-Driven Organization: What You Need to Know

Epicflow Blog

“Without data, you’re just another person with an opinion” , W. Data and technologies have become the drivers of innovations and competitiveness in today’s constantly changing business environment. A Data-Driven Organization: Main Characteristics . Data-related challenges.

2022 81
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The first rule of 'data'

Musings on Project Management

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. But, alas, in the PMO there are too many incidents of reports, data accumulation, measurements, etc which are PMO doctrine, but in reality, there actually is no plan for. data management

2022 163
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7 Data Entry Tools for Automating Data Entry Tasking in 2021

nTask

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.

2021 124
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The first rule of data

Musings on Project Management

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! The data plan You may be shocked to learn that often there is no data plan! data management Project Managementcorrect?Actually,

2021 174
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Creating the "Right" Product Roadmap With 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 needs?

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"Little Data"

Musings on Project Management

"Big Data" is the meme du jour, but most projects run on "little data", the sort of data that fits into the constraints of spreadsheets like Excel. Let's Excel So, assuming you using Excel as a spreadsheet for doing actual calculations and data entry, you will find that. It's everyday stuff that drives estimates, scorecards, dashboards, task assignments, and all manner of project analytics.

2019 163
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The case for "little data"

Musings on Project Management

"Big Data" is the meme of the day, but most projects run on "little data", the sort of data that fits into the constraints of spreadsheets like Excel. So, assuming you using Excel as a spreadsheet for doing actual calculations and data entry, and not a row-column table. data management Problem Solving Project Management

2018 174
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13 Best Customer Data Platforms For Agile Teams

nTask

Thus, having an optimized and seamless customer data platform is pivotal for every organization. This blog has reviewed the top 14 customer data platforms for agile teams. What is a Customer Data Platform? Benefits of Customer Data Platforms. Collect data in one place.

2022 85
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Issue Management – Determining Data Requirements

Brad Egeland

I’d like to discuss the how we determine the data requirements for our issue management and our change control needs on the projects we manage. What data is needed to fully understand the issues, track them, assign them, and ultimately resolve them?

2022 103
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ProjectManager’s Security Features Keep Your Data Safe

ProjectManager.com

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.

2021 282
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Selling Data and Decisions to your Team

Speaker: Cait Porte, SVP Product and Customer Experience, Zmags

Gathering support for a product feature or enhancement is a critical skill for Product Managers. Talking to customers, working with key stakeholders in the business and convincing development that a feature is necessary can be a daunting task. Join Product Management expert Cait Porte as she covers how to sell your ideas internally by leveraging data to drive decision making.

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Excel Data Visualization – Lesson 2 Transcription

MPUG

Please find below a transcription of the audio portion of Mike Thomas’ course, Excel Data Visualization – Lesson 2, being provided by MPUG for the convenience of our members. Welcome back to Data Visualization with Excel, this is lesson two.

2022 52
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Don't ask for data if.

Musings on Project Management

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! But, alas, in the PMO there are too many incidents of reports, data accumulation, measurements, etc for which there actually is no plan for what to do with it.

2020 163
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The Importance of Data Governance for Business

ProjectManager.com

Not being able to find or protect data makes for a dangerous precedent. While companies might hire someone with a library science degree to help them organize large amounts of data, that is only a part of what is needed. The process of maintaining the integrity of your data, protecting it and making it available as needed, requires a plan of action. That plan is called data governance. What Is Data Governance? Data Governance Goals. Data Stewardship.

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How to Combine Hard Data from Resource Management Software with Soft Data

Function Point

Resource management software collects hard data that provides an unbiased look at agency operations. This blog will discuss how to merge hard and soft data to build a successful resource management strategy. . Using Data to View Staff Workload.

2022 83
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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Five years ago, data visualizations were a powerful way to differentiate a software application. Today, free visualizations seem to be everywhere. Two trends are forcing application providers to rethink how they offer analytics in their products.

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Data-Informed Retrospectives

Scrum.org

TL; DR: Data-Informed Retrospectives. The second stage refers to gathering data so that the Scrum Team can have data-informed Retrospectives. Read on and learn how you can avoid falling victim to both scenarios by gathering data continuously and asynchronously. ??

2021 75
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How Data Visualization Tools Can Improve Your Project Management

ProjectManager.com

Data visualization is a great way to help people literally get the big picture. What Is Data Visualization? Data visualization is a way to display data in a picture or graphic. However, with the invention of the computer and its ability to work with large amounts of data, the use of data visualization can make complex information easier to comprehend. Qualities of Great Data Visualization. Never distort the data. Make large data coherent.

2018 255
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Garbage In, Garbage Out: How to Prepare Your Data for AI-Driven Project Management Tools

Epicflow Blog

The work in digital project management is impossible without data analysis. The thing is that the amount of data can be enormous which makes it impossible for a human brain to process it. That entails preparing and inserting necessary data into the system. Type of Data.

2020 70
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Data Lifecycle Management (DLM) : A New Way of Managing Data

Techno-PM

In this digital age, generating data is no longer a problem. In fact, we're producing more data than ever. The main problem companies face is managing the data adequately. Do you always find it difficult to manage data and derive information? Data Life Cycle management

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4 Approaches to Data Analytics

As the analytics landscape continues to evolve, application teams who need to embed dashboards, reports, and other analytics capabilities in their applications can choose from dozens of solutions. How do you differentiate one solution from the next?

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Data Lifecycle Management (DLM) : A New Way of Managing Data

Techno-PM

In this digital age, generating data is no longer a problem. In fact, we're producing more data than ever. The main problem companies face is managing the data adequately. Do you always find it difficult to manage data and derive information? Data Life Cycle management

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Cybersecurity Best Practices for Data Centers

Brad Egeland

The rise in data usage and the exponential growth of remote work in recent years has increased the need for reliable data protection centers all around the world. Since data centers are critical for wide-scale networking, data storage, and information sharing, they require exceptional security measures to safeguard them from rapidly evolving physical and digital threats. Read on to learn about the specifications of data center security and the risks that threaten it.

2022 75
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How To Write A Data-Driven Resume

PM Times

As business professionals, we know the increasing importance of data-driven decision making in our projects and operations. The Importance Of Data In the business world today, it […].

2022 58
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How to use data analytics to improve project outcomes

Moira Alexander

Ted Friedman, vice president and analyst at Gartner , predicts the following three trends will drive fundamental changes in the use of data and analytics: Instead of just reflecting business performance, data analytics will become the driver of operations. Data and analytics will become infused in an organization's architecture from end to end, creating a holistic approach -- and this will include strategic project management in EPMOs (enterprise program management offices).

2017 219
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

MONETIZING ANALYTICS FEATURES: Why Data Visualizations. Data Visualizations Have Gone From Rare to Ubiquitous 1 If DataViz Is Old News, What’s the Future of Analytics? Ubiquitous Five years ago, data visualizations were a powerful way to diferentiate a software.

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Small data is the project norm

Musings on Project Management

One-time projects don't generate enough data for real statistical process controls to be valid. To wit: projects are the domain of small data. Usually) And so, small data drives most projects; after all, we're not in a production environment. Small data is why we approximate, but approximation is not. I've written before that the PMO is the world of 1-sigma; 6-sigma need not apply. Why so?

2020 163
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Invest to Secure Your Organization's Data in the Cloud

Brad Egeland

​ Robust cloud data security is imperative for businesses adopting rapid digital transformation to the cloud. While a traditional hosting model could be considered more secure, not all organizations are receptive to relinquishing control over their infrastructure or applications by relying on a cloud provider at an increased risk of data theft from a cyberattack done by an outsider. What is Cloud Data Security? How is Data Secured in the Cloud?

2022 121
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Top 60 Data Analyst Interview Questions to Accurately Assess Tech Candidates

Teamweek

While data has always been a fundamental part of business growth, with the technology boom of the last 20 years, there’s now more information out there than companies know what to do with. This article will give you the toolbox to help you hire your next Data Analyst, hassle-free.

2022 52
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How to Use Data to Be a Better Manager

ProjectManager.com

Jennifer Bridges, PMP, shows you how to use that data to become a better manager. In Review – How to Use Data to Be a Better Manager. Why Is Data Important? Okay, if we don’t fudge the numbers, data is fact-based figures and information. This data is stored, usually in computers, and can be a great resource. Data can help you monitor and control your work. Data tells a story that helps you communicate. Data indicates variances.

2019 233
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Ask the "Right" Questions: Your Analytics-Guided Product Strategy

Speaker: Yoav Yechiam, Founder and Head Instructor, productMBA

Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. It's not the technology, and it's not the tactics. In most cases, it's our approach that's misguiding us! Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us? Join Yoav Yechiam, Founder and head instructor at productMBA, as he explains best practices for a data-guided strategy that helps product managers get to the "why" of their biggest product goals.

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About data; here's the first rule

Musings on Project Management

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. But, alas, in too many PMOs there are too many incidents of reports, data accumulation, measurements, etc which are the progeny of PMO doctrine. But the reality is: There data management

2022 163
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How to Avoid Data Loss in Microsoft Project for the Web

MPUG

The thought of losing mission-critical data in Microsoft Project for the Web can keep any project manager up at night. As a project, program, or portfolio manager, you handle sensitive client information and business data. Why are organizations still struggling with data loss?

2022 52
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Big Data and Risk Management

Brad Egeland

The Big Data age is finally here. In fact, the IDC revealed that global data would increase from 23ZB in 2017 to 174 Zettabytes by 2025. Depending on the type of your organization or the industry you are in, you could be having massive volumes of internal and external data readily available for creating viable projections, mining, and applying predictive analytics. Generally, the health of your organization improves significantly when data is assessed accurately.

Risk 109
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What Is JotForm Tables & How Does It Manage Project Data?

The Digital Project Manager

The post What Is JotForm Tables & How Does It Manage Project Data? appeared first on The Digital Project Manager. Best Tools Reviews Tools

2020 184
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Using a Non-Revenue North Star Metric

Speaker: Ashley Carroll, Partner, Social Capital

In this session, we’ll look beyond revenue as the primary metric in product analytics. What other metrics are applicable as your north-star, and how do you establish reliable data sources? By taking an experimental approach to your KPIs, you’ll establish more useful analytics that reduce churn in the long term.

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Why Data-Driven Decision Making is So Important

Binfire

Today, it’s difficult not to hear about big data and data-driven decision making. By understanding how to both measure and analyze your data accurately and using the right reporting tools, you will find it easier to do data-driven decision making that will help your business thrive.

2020 78
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Data Science in Agile: Is Your Data Analytics Problem Actually a Backlog Problem?

Leading Agile

Data science is fundamental to success—and leveraging it effectively with data analytics is imperative to being competitive in the market. As we covered in the first conversation in this series with Adam and Dan, the way your organization uses data is important.

2021 105
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Big data -- sorting this and that

Musings on Project Management

Here's some stuff you can use, and it only takes 6 minutes to learn a few things It's all about sorting "big data", to wit: millions of records. We've all sorted data on a spreadsheet -- a few thousand records at most -- but that happens at the blink of an eye. Big data takes a bit longer. Running a database project? Want to be agile and try different stuff quickly?

2016 218
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Personalised medicine and the advantages of big data and AI-based diagnostics

Brad Egeland

Big data and bioinformatics can also offer human-centred data to be used for early drug research in lieu of, or in combination with, conventional methods. Artificial intelligence (AI) and big data are transforming healthcare with high-throughput analyses of complex diseases.

2022 151
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Business Monitoring Systems: Using ML to Analyze Metrics

This whitepaper discusses how automated business monitoring solutions like Yellowfin Signals revolutionize the way users discover critical and relevant insights from their data.