"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

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. That plan is called data governance. Data Governance Goals.

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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. Qualities of Great Data Visualization. Never distort the data.

2018 341

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. Data indicates variances.

2019 303

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 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 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. To get round this, you need a data taxonomy. An information taxonomy is simply a way to classify data. Why You Need To Classify Data.

2017 285

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 59

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.

2017 156

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.

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.

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 72

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.

2016 283

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 107

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.

2019 142

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.

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 218

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.

2019 198

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. What Data Management Solution is Right for You? Create a Data Dictionary for Effective Management.

2019 112

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).

2017 227

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.

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?

Lean 79

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

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.

2020 72

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.

2019 129

Driving Discovery and Experimentation in your Organization

Speaker: Teresa Torres, Product Discovery Coach, Product Talk, David Bland, Founder and CEO, Precoil, and Hope Gurion, Product Coach and Advisor, Fearless Product LLC

If you want to build what matters, you can't move forward blindly. But to make progress, you can't let things slow to a crawl while you focus resources on gathering data. This is where continuous discovery and experimentation come in. Join Teresa Torres (Product Discovery Coach, Product Talk), David Bland (Founder, Precoil), and Hope Gurion (Product Coach and Advisor, Fearless Product) in a panel discussion as they cover how - and why - to build a culture of discovery and experimentation in your organization.

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). Big Data’s Part All of these things working in concert yield Big Data.

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

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.

2020 55

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. Demand for Big Data Analytics in Manufacturing.

Connecting Analytics to Strategy - Keeping Your Corporate Objective In Sight

Speaker: Tom Evans, Senior Principal Consultant and Trainer, 280 Group

Data analytics has transformed the way many product managers approach product enhancements, creating strong demand for product managers with skills and expertise in defining and analyzing product metrics to make more valuable product decisions. But there is one essential element that is often left out of the conversation, and that is strategy. How does my product decisions support the overall strategy of the business, and am I tracking the right metrics based upon that strategy?

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. And no, managing a few Terabytes (TB) is not really big data. Imagine hundreds of camera data streams flowing in real time.

Agile 55

Sharing Project Data With Customers: Letting Go of Your Fear, Saving Time and Building Trust

Keyedin

Creating and emailing periodic reports has been the standard method, but there is a major pitfall to this approach: You’re creating overhead by taking the time to repackage project data for the client.

2019 85

Application And Collection Of Data Optimizes Businesses

Brad Egeland

You can employ such a solution and collect data on it to see if there are any improvements in either sales or site visitor time. Consider the kind of savings that come from a data center which is totally replaced by a cloud computing solution. To Bot, Or Not To Bot?

What We’re Reading This Week: Data Mining

LiquidPlanner

This week we’re deep in the data weeds, exploring the pros and cons of big data vs. small data, how to use it to make business decisions and whether the role of data scientist is really needed. Here are a few stories that go deeper into the pros and cons of data mining.

2016 86

Turning Metrics into Dollars: How to Turn Your Analytics Data into a Real Financial Model for your Startup

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

Some teams struggle to constantly optimize conversion rates without understanding the financial impact of those conversion rates. Sometimes that 0.1% increase isn't worth the engineering time we're spending! Early stage startups in particular may not need a four year business plan, but they need to start building out a model which will show how they can someday be profitable. At the very least, they need to be able to see the impact of a change in retention rates to their user growth.

Sharing Project Data With Customers: Letting Go of Your Fear, Saving Time and Building Trust

Keyedin

Creating and emailing periodic reports has been the standard method, but there is a major pitfall to this approach: You’re creating overhead by taking the time to repackage project data for the client.

2019 78

What is Little Data? And Why Do Project Managers Need It?

LiquidPlanner

One of the fastest-growing technology trends today is Big Data, probably behind Internet of Things and ahead of Virtual Reality. For instance, a search on the job site Indeed for “Big Data” returned almost 20,000 entries. But what about Little Data (which only gets four hits on Indeed)?

2017 97

Elements Of A Successful Data-Driven Marketing Strategy

Brad Egeland

Thankfully, today’s digital world has a plethora of data harvesting solutions. While infrastructural enhancements like this are worth pursuing, some of the most successful data-collecting solutions come in the area of marketing. SEO organizations primarily trade in data.

Elements Of A Successful Data-Driven Marketing Strategy

Brad Egeland

Thankfully, today’s digital world has a plethora of data harvesting solutions. While infrastructural enhancements like this are worth pursuing, some of the most successful data-collecting solutions come in the area of marketing. SEO organizations primarily trade in data.

How Agile Approaches Change Project, Program, and Product Measures

Speaker: Johanna Rothman, Management Consultant, Rothman Consulting Group

Before agile approaches took the world by storm, we used Gantt charts and defects to measure project and program progress. We had trouble measuring product progress until just before release—often too late to change anything. Join Johanna as she discusses how agile approaches change what we measure, and possible measures you might use in projects, programs, and to assess the product as the team(s) build it.