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

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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Top 5 Best Data Management Software Of 2021

nTask

With the increase in online traffic and internet businesses taking the world by storm, digital data has also reached a record high. Unlike olden times, digital data is no longer limited to megabytes or gigabytes, around 2.5 quintillion bytes of data is created every day.

2021 124

"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

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?

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 288

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

How To Build A Culture Of Data-Driven Estimation (with Marcel Petitpas from Parakeeto)

The Digital Project Manager

The post How To Build A Culture Of Data-Driven Estimation (with Marcel Petitpas from Parakeeto) appeared first on The Digital Project Manager. DPM Podcast

2021 244

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 216

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

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.

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.

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

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

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 72

The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

The right analytics capabilities will turn data into valuable insights for your end users. This research-based guide, derived from insights of industry professionals, will allow you to create an optimal strategy for acquiring those capabilities.

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 258

Using Enterprise Data To Communicate Impact & Celebrate Wins (with Agile Delivery Champion, Bill Moroz)

The Digital Project Manager

The post Using Enterprise Data To Communicate Impact & Celebrate Wins (with Agile Delivery Champion, Bill Moroz) appeared first on The Digital Project Manager. DPM Podcast

2021 188

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

Remote Work 101: 5 Best Practices to Protect Data Privacy and Security

Proofhub

In this article, we’ll take a look at best practices for remote workers to follow to protect data privacy and security. What is Data Security and Privacy? Think about the customer data that your business handles?—?names, And that’s data about your customers.

2020 95

2021 State of Analytics: Why Users Demand Better

As organizations become more data driven, their analytics requirements grow. Find out how knowledge workers use analytics and explore their needs and preferences.

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

How Data Science Training Gives Project Managers an Edge

MavenLink

Successful project management requires data insights—now more than ever before. And that calls for strong data science skills. Critical Data Science Skills for Project Management. Data Visualization and Communication.

2021 78

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

What's your Data Point?

Project Health Check

Next time they do that, just stop them and ask "What's your data point?". But it does cut to the crux of the matter: I don't want opinion or views, I want hard data. The "data point" represents the precise measurement of a process to give true insight into its performance. Ideally a Project Manager would never have to write their own status report, the project tools would do this automatically based on the current actual performance data.

2017 120

The Definitive Guide to Predictive Analytics

By embedding predictive analytics, you can future-proof your application and give users sophisticated insights. The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges.

10 Best Ecommerce Product Data Management Software

DigitalPM

This article will help you quickly compare and evaluate the best e-commerce product data management software and other product information management (PIM) tools in a SaaS or on-premise environment. But how should product managers and e-commerce managers go about wrangling their product data?

2021 56

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.

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 184

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

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?

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 68

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 94

Importing Data from Excel to MS Project

MPUG

The project manager can then use import functionality of MSP to integrate and merge the Excel data. As you can see, importing data from Excel into MSP can be useful. Steps to Import Project Data from Excel to MS Project. Here, we will merge data into an existing project.

2020 87

Creating a Data Driven Culture with Power BI

MPUG

I believe Microsoft’s Power BI allows for the creation of a data driven culture within our organisations. We’ll learn how to pull in the data, cleanse it, analyse it, and create interactive dashboards and reports which can be made available throughout your organisation.

2021 52

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.

How To Categorise Data in Project Management Software

Girl's Guide to PM

This article, How To Categorise Data in Project Management Software , first appeared on Girl's Guide to Project Management. Project management software tools are great in many ways, but when it comes to finding the data that you’ve entered… Sometimes I find my files disappear into the internet. To get round this, you need a data taxonomy. An information taxonomy is simply a way to classify data. Which makes reporting on the data incredibly hard.

2017 226

Announcing Jira Sync: Automatic Data Imports for Jira Users

Teamweek

This powerful new feature allows users to automatically import existing Jira data directly into Toggl Track. No more tedious, repetitive data entry. The Jira Sync feature ensures that Track data is synced up to Jira data.

2021 83

Effectively Using Excel for Analyzing MS Project Data

MPUG

Excel is also a great tool for analyzing any type of data. The advantage of Excel is that it is more commonly used and can analyze any type of data. In fact, these Visual Reports use Excel’s data analysis features to analyze MSP schedule data.

2020 91

Data quality, data parentage

Musings on Project Management

John LeCarre data managementMy early career was in technical intelligence, so I was struck by this phrase applicable not only to that domain, but to my present domain -- project management: "The value of [information] depends on it's breeding. Until you understand the pedigree of the information you can not evaluate a report. We are not democratic. We close the door on intelligence without parentage."

2016 174

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.