"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

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.

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

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 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 266

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

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 239

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 216

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 105

The Rise of Embedded Self-Service Analytics

Speaker: Chris Von Simson & Nat Venkataraman

Can your users get the data and analytics they need without leaving your application? Watch this webinar with Chris von Simson of Dresner Advisory Services as he shares why user enablement has emerged as the theme in today’s embedded analytics landscape.

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

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.

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

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.

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 109

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. 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

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. 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

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

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?

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 164

How to Leverage Team Data for Big Projects

Wrike

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. .

6 Tips for Making Better Data Management Decisions

MavenLink

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

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.

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 210

Is It Possible To Have Too Much Data?

Meisterplan

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

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

Marketing Project Management: How Data Analytics Can Help

Proofhub

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?

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.

Six Data Points Needed to Create a Great Project Communication Plan

MPUG

Gaps in these data points can lead to project failure. The post Six Data Points Needed to Create a Great Project Communication Plan appeared first on MPUG. Even before children learn to walk, they start to communicate. Human beings have the inherent gift of communication. It is the most basic part of our daily lives. But, what is there to plan in communication? Well, day to day mundane communication does not need any planning, but project communication requires serious planning.

2020 67

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 98

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 Big Data Can Give Project Managers The Edge In Manufacturing

LiquidPlanner

There is no escaping the big data revolution that is sweeping across all sectors of industry. Any organization with the ability to assimilate data to provide crucial insights into their operations can benefit. Sectors like financial services and healthcare have already embraced big data analytics to remarkable effect. Now, manufacturing is getting up-to-speed as companies recognize the value in the vast amounts of data that they create and hold.

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.

Improve Project Data Visibility with Business Intelligence Reports

EasyProjects

Easy Projects’ Business Intelligence Reports (BI Reports) have the functionality of creating custom, targeted reports that provide integral data. Easy Projects’ BI Reports offer: Real-time visibility into your project data. Access to multiple data sources, including those external to Easy Projects (financial systems, CRMs, inventory).

2020 43

31 Free Data Visualization Tools

GanttPRO Project Management

Mastering the data is only half the battle. You still need data visualization tools and data storytelling techniques to explain what you’ve discovered. For instance, you can deploy a fascinating […]. Newsroom

2016 40

31 Free Data Visualization Tools

GanttPRO Project Management

Mastering the data is only half the battle. You still need data visualization tools and data storytelling techniques to explain what you’ve discovered. For instance, you can deploy a fascinating […

2016 40

Managing Big Data Projects in an Agile Way

Strategy Execution | PMO Perspectives

Like Agile wasn’t big enough as a buzz word, let’s mix it with big data. Joke aside, doing Agile when engaged in big data projects is almost a must. We’re going to focus here on two sides of the story: why doing Agile is the right thing and what are the challenges in doing Agile in Big Data projects. To qualify as big, data has to share the following three characteristics: Volume : usually measured in units like Petabytes (PB), Exabytes (EB) or even Zettabytes (ZB).

2019 42

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.