Microsoft Ignite 2017 Session Picks!

It’s that time again and if you are headed to Microsoft Ignite 2017 and are overwhelmed with the session choices, here’s some recommended sessions to check out.

Power BI – Microsoft Ignite 2017

If Power BI is your interest area, here’s some great sessions to check out.

Dive into effective report authoring using Microsoft Power BI Desktop 

https://myignite.microsoft.com/sessions/53124

Miguel Llopis and Will Thompson

Session code: BRK2111

Microsoft Power BI Desktop is a tool that allows data analysts, data scientists, business analysts, and BI professionals to create interactive reports that can be published to Power BI. Join us during this session for a deep dive into the report authoring, data preparation, and data modeling in Power BI Desktop. Topics covered include third-party connectors, data exploration, and data visualization. This session includes lots of demos, including what’s new in Power BI Desktop and what’s coming.

Managing Space and Time with Visio and Power BI

https://myignite.microsoft.com/sessions/55898

David Parker, Scott Helmers

Session code: THR2177

You’re attending Ignite. You’ve registered for 15 sessions. The sessions are located in more than 300 meeting rooms. The meeting rooms are spread across nearly three million square feet in the Orange County Convention Center. What tools do you have that can help you to maximize your time and minimize unnecessary walking?

  • You have a list of sessions.
  • You have a floor plan.
  • You have a clock.
  • Best of all, you also have Visio Professional and Power BI!

Learn how you can use the data mining, operational intelligence, and data visualization capabilities of those products to navigate the cavernous convention center more effectively.

Mining Yammer data for gold using Microsoft Power BI

Melanie Hohertz, Dean Swann, Becky Benishek, Simon Denton, Loni French

https://myignite.microsoft.com/sessions/53789

Session Code:  BRK2148

It’s a noisy conversation around enterprise social right now. But when you cut through to the signal, Microsoft’s data says Yammer is growing faster than ever. If you want data-driven decisions and value in social collaboration, analytics have never been more critical. Join a group of Yammer experts as they explore the importance of taking the broad view of Yammer data. Attendees get an overview of Power BI and a review of the Office 365 Content Pack, focusing on Yammer. We take an in-depth look at the “art of the possible” with Yammer data in Power BI, with real-world examples. Come see the power of Yammer, expressed in data that mines the gold for hands-on community managers and executive stakeholders.

Learn how to apply advanced analytics for Microsoft Project & Portfolio Management (PPM)

https://myignite.microsoft.com/sessions/53818

Jackie Duong,  Rick Bojahra,  Michael Patrick

Session code: BRK3025

Empower decision making by unlocking business insights. Take your reporting capabilities to the next level through Power BI and other analytics tools, with easy-to-use live data monitoring to show your data in a simple and compelling way. Hear directly from the global leader in designing and manufacturing water parks, WhiteWater, who deployed Project Online alongside Microsoft Dynamics and Power BI to optimize their business.

SharePoint Search – Microsoft Ignite 2017

There’s a lot of renewed interest in search and these speakers are worth your time. I’d recommend the following sessions in this area.

Accelerate productivity with search and discovery in SharePoint and Office 365

https://myignite.microsoft.com/sessions/53316

Kathrine Hammervold, Naomi Moneypenny

Session Code: BRK2181

Effective search needs to know what information that is relevant to you, your colleagues, the work you do and your context right now. Find out how we have used insights across Microsoft Office to create such a personalized search experience. A new search UX has been developed focusing on simplicity and performance enabling the user to quickly interact with a more personal and semantic organization of data. Find out how search now also supports multi-national corporations and how hybrid search works with the Microsoft Graph. Also learn about the roadmap for enterprise search in SharePoint and Office 365 for experiences, extensibility and the convergence of FAST and Bing search innovations.

Build your personalized and social intranet with SharePoint, Yammer, Delve, OneDrive and Teams

https://myignite.microsoft.com/sessions/55059

Naomi Moneypenny, Brian Duke, Rick Garcia, Greg Nemeth

Session Code: BRK2185

Hear how other companies have recently built their intelligent intranets and learn how to use capabilities of SharePoint, OneDrive, Office Delve, Yammer, Microsoft Teams to create cohesive experiences for productivity and cohesive digital culture. Explore how to empower business users and site owners with the tools and guidance they need to create, target, personalize, and consume content as well as bring rich interactivity for different business scenarios. The intranet of the future awaits!

Not going to Ignite? Check out our Training classes!

Virtual Public classes and Private on site classes are available!

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The Augmented Project Manager

This article was originally published on our CIO Magazine blog, the Effective Enterprise.  After seeing recent industry presentations on bots, machine learning and artificial intelligence (AI), I see the application of these technologies changing the practice of project management. The question is, is this future desirable or will we have a choice?

The project manager role and the growing role of Artificial Intelligence

Much of the daily work of a project manager has not dramatically changed over the last 30 years. We may use different management methodologies, but we spend a great deal of time manually collecting and disseminating information between the various roles on a project. This effort directly results from the need to fill the information gaps caused by systems that can’t capture what is truly happening within the organization. In a recent PMI sponsored roundtable discussion, missing or incorrect data was highlighted as a significant issue. Today’s systems are totally dependent on human entry of information, where it can be nuanced or simply not entered.

The combination of artificial intelligence in the form of bots and cloud computing could radically change this situation. PM effectiveness would be dramatically enhanced and likely the need for some PM roles diminished. In the future, as data capture becomes richer and more automated, we may see new adviser services that arise from improved data quality and completeness. I foresee significant improvements in three key areas.

Planning

One of the black arts of project management is predicting the future, where we represent this future state as a new project plan. We draw upon our own domain and company experience to determine the steps, resources and time needed to accomplish the goal. Our success rate at predicting the future is not good. Our predictions are fraught with error due to the limits of our experience and that of the organization. If you’ve ever managed a project for something completely new to an organization, you are familiar with this situation.

Imagine if your scheduling bot generates a proposed project plan, based on the aggregated and anonymized experiences of similar sized companies doing the same type of project. Today, we use tools like Monte Carlo to simulate this information. The bot could incorporate real world data, potentially yielding better results.

Benchmarking of business data has been around for some time. These new cloud capabilities could see bench-marking expanded to include real-time project management data.

Resource allocation

Another common challenge of project managers is that of resource constraints. Imagine a world where your resource pool is the world and it’s as easy to use as Amazon.
We are seeing the continued growth of the freelance nation trend in corporations. Currently, corporations use agencies to locate and recruit talent. Agencies may simply be a stopgap as bots become a more efficient clearinghouse of freelancer information. Staff augmentation agencies could become obsolete.

For example, your resourcing bot determines that you need a social media expert on your project on April 5th for two days of work. It searches data sources like LinkedIn and your public cloud calendar to find a list of suitable and available candidates. Three are West Coast of the U.S., one is in Paris and one is in Sydney. It then automatically reaches out to these candidates with offers. If multiple people accept, it automatically manages the negotiation. Once complete, the planning bot is informed, a virtual desktop with requisite software is provisioned, user login credentials are generated and the specific task information is sent to them. When the job is complete and rated as satisfactory, the bot coordinates with your accounts payable system to pay the freelancer. The planning bot automatically updates the plan and pushes the data to the BI dashboards.

Tracking

Project feedback loops on work are awful. The largest challenge is incomplete data, which results from increasingly fragmented work days, limits of the worker’s memory and tools that rely on human input. It is also incomplete as it serves little benefit to the person entering the data.

Workers are overwhelmed with tasks arriving via multiple communication channels and no consolidated view.

Imagine a world where the time sheet is antiquated. Today, we have systems such as Microsoft Delve that know what content you’ve touched. We have IP-based communication systems that know what collaborations you’ve conducted. We have machine learning capabilities that can determine what you’ve discussed and the content of the documents you’ve edited. This week, we have facial recognition capabilities and other features that can track and interpret your movements. Given all of this, why is a time sheet necessary?

Professional athletes use this type of data in the competition setting to improve their performance, using the data feedback to spot areas of development. Combining this activity information could prove a boon to productivity.
I can see this working as a “Fitbit” type feedback loop that helps the worker be better at their job and allows them to get home on time. Doing so provides direct benefit to the employee and reduces the Big Brother feel of this data.

The personal bot acts as a personal assistant, reminding the worker of tasks mined from meeting notes and marking tasks as complete in real time. All the while, it is also keeping track of the time spent that enables to the worker to get a better picture of how they spent their time.

Brave new world

There are many challenges with the view I’ve presented above. Many of these challenges are the same faced when we automated and integrated procurement processes. It is also hard to deny that there is compelling opportunities to improve the worker lives as well. Bots, machine learning and artificial intelligence are reachable capabilities that should be incorporated in the PM toolbox as you plan your organization’s future work management needs.

I look forward to reading your viewpoints and experiences in the comments below.

 

 

The Truth Shall Make You Miserable

Lack of Faith - Vader- Project Dashboards

When companies begin making their data more accessible via Self-Serve Power BI, they soon reach a critical break point in those efforts. The Project dashboards tell them something that isn’t pleasant or doesn’t match the narrative been publicized.

The Reality in Your Project Dashboards

Performance indicators go red. The data shows the stellar progress that was planned isn’t happening. Operational demands for time are much higher in reality than assumed in planning. In short, it shows the harsh reality, as captured in the data.

This is a moment of truth for organizations. Are we going to embrace the transparency or will we attempt to control the narrative?

Data Quality Challenges

The first question is normally, is this data accurate? This is quite reasonable to ask, especially at the beginning the data stream may not be as clean as it should be.

The approach to this answer can decide your success going forward. For some, questioning the data is a prelude to dismissing the use of the data. For others, it’s a starting point for improvement.

The data deniers will provide many reasons why “we can’t use the data.” They will complain that the data is inaccurate or incomplete. Therefore, they can’t trust their data to integrate its use into their daily work or to use it to make decisions.

These data deniers may have other hidden reasons for their position, such as political or power base protection reasons. Moving to data-centric culture is a big change for many organizations, as you have to be open about your failures. No company is always above average in every endeavor.

Data deniers also fear how business intelligence might impact their careers. If the corporate culture is such where punishment is meted out when the numbers and updates aren’t desirable, likely data transparency won’t be welcome.

Change the Focus of How Data is Used to Succeed

The key to overcoming the data fear is to change the intent for its use, moving the focus from punishment to improvement.

For the successful companies using data, they embrace two simple facts. One, the data is never perfect and that it doesn’t have to be to effect a positive change. Two, they’ve defined the level of granularity needed in the data to be used successfully.

How Imprecise Data is Changing the World

We see this approach in our personal lives. For example, the Fitbit device is not 100% accurate or precise. Yet, millions are changing their behavior of being more active because of the feedback that it provides. based on relatively decent data. You may also be carrying a smart phone, which also tracks your steps. Between the two, you would have a generally good idea of how many steps you took today.

From a granularity approach, we aren’t generally worried about whether I took 4103 steps or 4107 steps today. We took 4100 steps. Hundreds is our minimum granularity. It could easily be at the thousands level, as long as that granularity meets your information needs.

Cost Benefit of a Minimum Level of Granularity

One area we see this type of data accuracy dispute in the corporate world is with cost data. It’s been engrained in our psyche that we have to balance to the penny. Our default data granularity is set to the cent.

While that may improve accuracy and precision, it doesn’t make a material difference in the impact. For example, if your average project budget is $2M, then worrying about a 5 cent variance is a percentage variance of 0.0000025%. I’ve seen organizations who get wrapped up in balancing to the penny and waste an inordinate amount of time each week getting there.

Instead, let’s define a minimum granularity in the data such that a 1% variance is visible. For a $2M average, you would round up at the $10,000 point. Doing so then reduces work attempting to make the data perfect. Any variances of that size are significant enough to warrant attention and are more likely to stand out.

Implementing Self-Server BI using products like Microsoft Power BI and Marquee™ Project Dashboards will enable your organization to gain great improvements as long as they are willing to accept the assumptions above. The truth may make you miserable in the short term as you address underlying data and process challenges. In the long run, you and your company will be better served.

Please share your experiences in the comments below.

Chaos Management and the Cubicle Hero

When asked, “What do you want to be when you grow up?” you may have replied, “Firefighter.” If you did, I’m sure you meant one of the awesome individuals who provide medical services, rescues and ride the fire trucks. While, most of us never realized that dream, there are days at the office where you probably feel that “Fire Fighter” should be your job title.

Welcome to the wonderful world of the Cubicle Hero, where fighting fires is part of your job!

Perhaps you ask yourself at the end of each day, “How did I get here?” Many feel stuck in these roles without a way out and are puzzled as to how it happened. I talked about the True Cost of the Cubicle Hero in this previous article, so let’s look at how Cubicle Heroes form.

One reason Cubicle Heroes arise is due to a work environment that isn’t structured to respond well to chaos. If there are no processes for reacting to chaos in a controlled manner, the result is a crisis, which requires some brave person to step in to address. This person is caught in that role going forward, thus evolving into the Cubicle Hero. Chaos is ever present and needed for the organization to evolve and remain competitive. The organization is going to run out of Heroes unless a systemic way of reacting is created.

Internal efforts such as implementing a new HR system creates short-term chaos and long-term impact the organization. If your organization doesn’t have a formal project transition process to production, Cubicle Heroes usually form from the project’s team members who hold the detailed knowledge about the project’s deliverables . A problem related to the project arises. This leads to a project team member solving the issue and then becoming the Hero going forward.

Ad hoc project transformation process creates “human hard drives” out of the project team members, where they must store and retrieve organizational knowledge as needed. This restricts the ability of team members to grow their skills as letting go of that knowledge results in a loss to the organization. A formal transformation process ensures relevant information is captured so that it can be widely used within the organization, freeing the team members to move on.

External events such as a large client with a new, immediate need or a viral photo of a dress of indeterminate color are also chaos sources. Does your company treat these requests as fire drills  or do they have a way to manage them?

The best companies have a deep respect for chaos and put practices in place to manage it and to learn from it. New products and services are sometimes rooted in chaos learnings. Successful chaos management becomes a source of positive change within an organization, as it provides opportunities for people to learn new skills and encounter new situations. As discussed in the earlier article, these new skills and experiences prepare these individuals to be the Explorers that we need.

If your company grows Cubicle Heroes, then the first step in the solution is to address the underlying cultural issues. Adding tools too soon will simply result in chaos at light speed. Addressing this issue is especially problematic in organizations where management has built their careers on their firefighting abilities. Cubicle Heroes tend to prosper in environments which lack visibility into cause and effect. One of my Project Management Office  tool implementations came to a grinding halt when the sponsor, who was a master Cubicle Hero, realized the system would also show that he was also the company’s biggest fire starter .

Your company’s reaction to chaos is a key process necessary to maximizing your long term competiveness and productivity. One way to address chaos is to create processes for categories of chaos. Categories help keep the process manageable without having to address each specific and unique possibility.

One category should also be “other,” as the truly unexpected will happen. One example where this was successful is an organization who assigned a team member to work the “other” category, thereby sparing the rest of the team from being randomized by the unexpected.

I’ll write more on this topic in the weeks to come. For other articles, please visit my blog at http://www.tumbleroad.com/blog.

The True Cost of the Cubicle Hero

Heroes. Society loves them, honors them and exults them. Corporate offices are filled with a new breed of hero, the Cubicle Hero. These are the people who go beyond the norm and figure it out. They burn the midnight oil and they get it done. They overcome the chaos and reach the goal. All hail the hero!

However, heroes tend to overstay their welcome. In the movie, “The Dark Knight Rises”, character Harvey Dent intones, “You either die the hero or you live long enough to see yourself become the villain.” The Cubicle Hero’s individual victory is celebrated initially, but situations change and the need for the hero diminishes over time. Or so we hope.

Cubicle heroes can become process bottlenecks and productivity killers. Why? The organization’s reward structure doesn’t lead them to being mentors. The cubicle hero has great value to the organization but their way of working can’t scale and the lack of information sharing prevents the organization from truly benefiting from their victory. The hero then gets involved in every project that touches their area and becomes the bottleneck as the demand for their time is greater than what is available. Thus, the hero slowly becomes the villain, delaying projects.

Many years ago, I worked at a company where a core process of the company was dependent on a very skilled hero. He was a great employee and did his job earnestly. However, he also guarded his knowledge so that he was the only one who understood it completely. This became a serious company concern when he was involved in an accident, leaving him unable to work for several months. Several key projects were impacted.

Changing the perspective, expectations and language of what happens as part of these efforts can lead to a different outcome. We need to make it clear that we want and need Corporate Explorers rather than Cubicle Heroes. Leif Erickson, the Viking, may have been the first to reach North America on a heroic journey, but it was the explorer, Columbus, that opened up North America to the world.

Explorers and Heroes share many common traits. They can see the big picture. They can dig down into the details when needed. They put in the extra effort to get the job done. The real difference is in the aftermath. Explorers open new trails so that others may come behind them. Explorers become guides to help others make the same journey. Heroes, on the other hand, continue to hold onto their conquest.

Changing your company culture to encourage Explorers over Heroes creates a scalable culture of knowledge sharing. This organizational approach leads to greater productivity, higher quality collaboration and timelier project progress.

To summarize, I recommend reviewing the following in your organization.

  • Provide a clear path to success for as many as possible to the rewards for exceptional effort, in a way that others and ultimately the organization can leverage
  • Provide public recognition for knowledge sharing
  • Structure rewards, within the process, so we can move from the mentality of one time hero-creation to our true goal of constant productivity improvement
  • Provide the Explorer with opportunities to help facilitate and implement their achievement within the organization. This keeps the Explorer engaged and looking for additional ways to improve
  • Provide collaborative tools like Office 365 and Yammer to help facilitate and support the Explorer’s journey

If you are ready to address more productivity issues in your organization, talk to us or join our Community.