"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

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

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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

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

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.

The Importance of Data Governance for Business


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.

Improving big data project management


Big data and project management often go hand in hand, but some project managers, or those wishing to follow a career in project management, may be unfamiliar with the term. The right tools, training and knowledge are also important to help people come to terms with big data.

2021 78

Why Data-Driven Decision Making is So Important


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

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

Creating a Data Driven Culture with Power BI


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

4 Approaches to Data Analytics for Your Application

Selecting the right solution for your embedded analytics is crucial to the success of your application. But with so many solutions and vendors, how do you make this critical selection? Learn about the different approaches to analytics and the pros and cons for each.

How to Use Data to Be a Better Manager


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 240

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 110

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 212

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


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 87

What is Contextual Analytics? The Next Evolution of Embedded Analytics

Download this white paper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.

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. If you want to get an adequate outcome, prepare your data accordingly. So, let’s take a brief look at the data preparing challenge for the modern AI-powered environment. Type of Data.

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

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

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 242

5 Early Indicators Your Embedded Analytics Will Fail

thrilled to finally visualize their data. They ask to explore data on their own, create and. share analysis, and connect new data sources to the. requests for new and more complex data visualizations, the ability to customize dashboards, and real-time.

All Project Data is at Risk

Brad Egeland

IT is responsible for the security of the data in the organization, right? As employees of an organization, we generally assume that the data we are working with is being appropriately handled within the IT and security groups and is as secure or non-secure as it actually should be. I can say that during my application developer and tech lead days I didn’t worry much about the data. First, if the consultant is working with sensitive data, liability insurance is a must.

Auditing and Analytics in Big Data

Brad Egeland

The rapid evolution in technology has been utilized by cybercriminals to develop sophisticated techniques to phish data. To further guarantee security, organizations use internal audit data analytics which gives more targeted recommendations thus ensuring tighter security regulation controls. This article will explain the concept of big data and its uses in data analysis and auditing. Big Data: What is it? What is Audit Data Analytics?

2019 110

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

The Best Business Intelligence Tools of 2019 To Get Insight From Your Data

The Digital Project Manager

The post The Best Business Intelligence Tools of 2019 To Get Insight From Your Data appeared first on The Digital Project Manager. Learn the types of business intelligence tools for your projects and agency teams. Then, get started with my top BI tools list, overviews, and answers to FAQ. Tools

2019 166

New Study: 2018 State of Embedded Analytics Report

In a digital era fueled by data and automation, analytics has evolved from an afterthought to a necessity. their data in the digital era. dashboards and data visualizations, and embedding sophisticated features such as predictive analytics. data sources in the application.

Importing Data from Excel to MS Project


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. This article would be useful if you are looking to do a one-time import of Excel data in a new Project file. You need a constant integration of MS Project and Excel data by importing and merging Excel data periodically into your Project file.

2020 67

Effectively Using Excel for Analyzing MS Project Data


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. In this article, you will learn how to exploit Excel’s pivot tables for analyzing MSP data. MS Project Data and Excel Pivot tables. A pivot table is made to calculate, summarize, and analyze any kind of data.

2020 70

6 Tips for Making Better Data Management Decisions


Services businesses depend on data insights more than ever to understand how they can improve their work, meet ever-increasing client needs, and streamline behind-the-scenes processes. But gaining these insights requires the right data management solution that will orchestrate the flow of information and create insights needed to excel in the services industry. What Data Management Solution is Right for You? Create a Data Dictionary for Effective Management.

2019 90

A Project Team’s Guide to Data Conversion: Book Review & Interview with Dave Gordon

Project Bliss

But what about all that data in the old system? Gordon has you covered with his book The Data Conversion Cycle: A guide to migrating transactions and other records, for system implementation teams. In this book, Dave explains how to handle complex data migrations (or even simple ones). It’s difficult to know how much effort will be required to find and fix those errors in the production system before you migrate the data.

2017 175

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?

How to Leverage Team Data for Big Projects


Work performance data is crucial, otherwise you may have a general idea of what direction you need to move in, but will be shooting in the dark about the specifics. This is why you need data analytics for project management. How important is big data for project management? As the above anecdote illustrated, knowing how to collect and analyze data carries a lot of weight when it comes to successful project management. . We told you that data is important. .

How To Get the Best Data Visualizations for Your Project


The word “data” can sometimes seem complex and intimidating — almost as if there should be numbers scrolling in front of you like the Matrix. When you’re swimming in data, taking it all in can feel overwhelming. When you boil it down, data is factual information.

2020 36

Top 3 Project Management Challenges In 2020 [Survey Data]

The Digital Project Manager

The post Top 3 Project Management Challenges In 2020 [Survey Data] appeared first on The Digital Project Manager. Career Development Community Topics

2020 230

Is It Possible To Have Too Much Data?


Many businesses believe a chaotic and unsuccessful project portfolio is caused by a lack of project data. This leads them to start great efforts to document and obtain as much project portfolio data as possible. . To Data, Or Not To Data? There are lots of methods and tools that promise comprehensive and complete project data. N ow t h at you h ave all this project data you can finally get your projects under control and on track , right? .

Lean 60

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.

Small data

Musings on Project Management

Not enough data, to wit: small data. Small data drives most projects; after all, we're not in a production environment. Small data is why we approximate, but approximation is not all bad. Sometimes small data is really small. I've written before that the PMO is the world of 1-sigma; 6-sigma need not apply. Why so? You can drive a lot of results from approximation. Sometimes, we only have one Bayes Problem Solving Statistics

2017 163

5 Data Security Measures Every Project Manager Must Implement

Brad Egeland

Data security is an aspect of project management that is often overlooked by well-meaning project managers. Improper data security measures can result in a breach or data loss that can derail a project and devastate a business. Here are five data security measures every project manager must implement. This could include anything from data backups to company financial information. Education is the best line of defense in data security.

2019 101

Marketing Project Management: How Data Analytics Can Help


This is where data analytics and reporting comes into the picture. This post is designed, keeping in mind the importance of data analytics and reporting for marketing project management. How Can Data Analytics Benefit Marketing Project Management?

Necessary Big Data Management Best Practices For Optimal Infrastructure

Brad Egeland

Use The Tools Available Two things primarily facilitate Big Data: cloud computing—which provides a variety of infrastructurally enhancing applications —and the Internet of Things (IoT). BYOD has been shown to yield increased employee productivity for a number of reasons, and because it utilizes remote devices accessing the network through proper credentials and a secure connection, data can be collected which increasingly reveals secrets about your operation.

How to Package and Price Embedded Analytics

customers absolutely need advanced capabilities like embedded self-service and the means to pull new data sources into the. and the data feeding them—as well as trigger both. rely on—enabling anyone to analyze data when and where. HOW TO PACKAGE & PRICE EMBEDDED ANALYTICS.