December, 2016

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Tool Review: Hub Planner – resource scheduling, time tracking & project management software

The Digital Project Manager

The post Tool Review: Hub Planner – resource scheduling, time tracking & project management software appeared first on The Digital Project Manager. Hub Planner is one of the tools featured on our list of resource management tools. It’s a powerful and robust resource and team scheduling software.

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2016 Review

The Tao of Project Management

It's always good to look back and review how things went as part of an experiential learning process, so this is my review of 2016 and no don't worry, I'm not going to mention Brexit or Trump! January began as usual with me opening Topsham outdoor swimming pool on New Year's Day (I'll be doing it again on Sunday morning).

2016 30
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2017 Project Management Trends To Watch

Rebel’s Guide to PM

This time last year I reviewed the trends in social and collaborative technology in the project management space: some of my predictions had come to nothing and it was interesting to look backward and hold myself accountable for what I said would happen. Book review: Six-Word Lessons For Project Managers What can you learn from just 6 words?

2017 208
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Thanking the GirlsGuideToPM Community (That’s You)

Rebel’s Guide to PM

Companies that let me review their software. Thanks to these companies who gave me free access to their software for review purposes: BrainBOK. I also reviewed Vizzlo because I bought it and I still use it regularly for my work and blogging. Publishers and authors who have sent books to review. Simplestimate.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind.

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What I’m Reading: December 2016

Rebel’s Guide to PM

My full review of it is here (and you can win a copy if you have 5 minutes to answer a few survey questions for me over here. Edoardo Binda Zane’s book, Writing Proposals: A Handbook of What Makes Your Project Right for Funding , has arrived but I haven’t had a chance to read it yet. I (finally) read Gren Gale’s Project Management for SME’s.

2016 152
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There is a good reason why everyone hates Microsoft Project

Binfire

Management was able to review the full project in one visual. . I will review these briefly: The workforce structure has changed as more people work via remote. Instead of a project team working in one or two locations, today’s teams are more distributed.

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Outrun Your Competition: Best Practices for Accelerating Sales Processes

Slow-moving compliance reviews. Longer sales cycles. Larger buying committees. Every go-to-market team knows the frustrations that come from a drawn-out sales process. How can you speed it up? By building a modern GTM motion that uses data, automation, and proven best practices to unlock insights, engage customers, and win faster.

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How Intent Data Helps Marketers Convert A-List Accounts

By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return.

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4 Data-Driven Steps To Drive Successful B2B Demand Generation

Review, report, and iterate. In this eBook, you’ll discover how to improve your demand generation program—and your bottom line—in four data-driven steps: Nail down your ideal customer profile (ICP). Leverage intent data. Personalize messages to your priority accounts. And much more!

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Digitizing Logistics: Harness the Power of Data in 4 Steps

Reviewing, reporting, and refining for better results. Learn how to carry out a data-driven demand gen strategy by: Nailing down your ideal customer profile (ICP). Leveraging intent data. Personalizing messages to your priority accounts.

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ABCs of Data Normalization for B2B Marketers

In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals! At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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12 Plays to Kickstart Your Recruitment Process

According to Harvard Business Review, the COVID-19 pandemic exacerbated seismic shifts that were already rocking the talent market. That means placing the right people in the right roles can be the difference between your business growing or stagnating — and the competition is getting fierce.

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Reaching Unreachable Candidates

Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo

Export results: Easily export candidate data (including contact info) to Excel, shared with colleagues to review or upload in bulk to a recruiter's applicant tracking system. Candidate and company profiles: Preview and expand search results to find a candidate's job history and career experience or a company's details.

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Best Practices for a Marketing Database Cleanse

This buyers guide will cover: Review of important terminology, metrics, and pricing models related to database management projects. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

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How ZoomInfo Helps Overcome the Top Pain Points of Inside Sales

With more access to user reviews, analyst opinion, and industry research, decision-makers are more informed than ever while navigating what is now known as the “buyer’s journey.”. Recent digital transformation has shifted the B2B landscape by ushering in the era of buyer empowerment.

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Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Then, he'll explain how you can use your analytics to regularly review progress and successes. Systematically review progress and successes. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why.