Analytics and Data-Driven Decision Making – Webinar on Feb 15

With Daniel Meyer, President and Founder, Decision-Making, Analytics & Intelligence Philippines… that’s me! 🙂

I have the honor of conducting  a webinar next month in partnership with American University.

Here is the promotional copy for the webinar… hope some of my followers like you are able to join us. 

Evaluators can learn from the ways that the corporate sector uses business analytics to understand, interpret, and display Big Data. Key aspects from the corporate sector that are useful for monitoring and evaluation include identifying what data is important, and finding ways to visualize it for consumption. In this webinar, Daniel Meyer discusses analytics solutions relevant to measurement and evaluation.

Daniel Meyer is passionate about solving problems by bringing together the best talent, cutting edge technology, and successful methodologies. He is an expert on data-driven decision-making, multi-industry analytics and business intelligence. He is the author of Putting Your Data to Work and the Fundamentals of Business Analytics. Learn more about Dan Meyer.

Webinar details:

February 15, 2017

1pm Eastern

Webpage with webinar registration links: http://programs.online.american.edu/msme/webinars

 IMG_6912Daniel Meyer

Daniel Meyer is President & Founder of DMAIPH (Decision-Making, Analytics & Intelligence Philippines), an analytics, consulting, training and outsourcing company with offices in Manila and the San Francisco Bay Area. Mr. Meyer is one of the top analytics experts in the Philippines. With a team of over 40 analysts, DMAIPH provides a variety of analytics solutions to companies in the U.S. and Asia. Mr. Meyer is also one of the most sought after public speakers in the country and has personally trained thousands of Filipinos in various analytics functions. Before setting up his own company, Mr. Meyer worked as a Senior Analytics Consultant for Wells Fargo Bank for 15 years. Mr. Meyer provided executive management analytics for the bank’s Remittance Service including developing business dashboards, overseeing competitive intelligence gathering, managing data analytics outsourcing projects and facilitating audit and risk management. Mr. Meyer recently published Putting Your Data to Work, an analytics guidebook designed to provide organizations with a solid foundation in using analytics to empower more data-driven decisions. Mr. Meyer earned a B.A. in History with a minor in International Studies from Sonoma State University and a M.A. in Education with a focus on Student Affairs in Higher Education from the Indiana University of Pennsylvania.

 

Most Analysts Are Spending Only 20% of Their Time on Reporting

In many cases reporting is either something that is set and stone and just needs to be filled or there is a time crunch forcing quick and dirty reporting.

Little time is devoted to using the data for storytelling, maximizing data visualization and really providing the audience exactly what its needs.

% Finding Analyzing Reporting
10 12% 6% 33%
20 14% 10% 39%
30 20% 31% 24%
40 6% 14% 2%
50 31% 16% 2%
60 14% 18% 0
70 0% 0% 0
80 0% 2% 0
90 0% 0 0
100 0% 0 0
       

Ideally, at least a third of the time should be spent post data gathering and analysis to really give the end user of the data the things they need for intelligent decision-making.

A full one-third only spend 10% of their time on reporting, which to me means that there is a lot of the waste in their analytics process.

If you take a full 40 hour week to complete a high priority, high value report but only have Friday afternoon to boil down your finding into a report, it is highly unlikely that your report will fully capture the fruits of your labor.

However, if the time frame is even shorter… you have to do all this in one day, you are just getting to the reporting phase at around 3:30pm.

You have less than an hour and a half to summarize you methods and boil your findings into a few points.

Making sure you craft a compelling story to really influence decision-making based on intelligent data analysis is likely impossible.

Data is based on a survey I sent to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

Analytics Survey – DMAIPH conducts quarterly analytics surveys to collect data on current trends in analytics. We specialize in surveys that assess analytics culture and measuring how aligned an organization is to using data and analytics  in its decision-making. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out more about how DMAIPH can conduct surveys to help you assess the analytics culture in your business.

 

 

Why Analytics Projects Fail – #11: No End User Participation

One the most overlooked and under appreciated parts of assuring a successful analytics implementation is getting the participation of end users. End users being defined as the consumers of either the data, the analysis and/or the reports that come out of the project.

I can tell you countless horror stories about stacks of reports that go unread, email summaries that are never opened and business dashboards that are rarely clicked on. In most cases, all because the end user was not involved in the project or its development process.

One example of this is when the ones who need the reports are not asked what they need in the report.  This is more common than you might think. Requirements, no matter how well thought out, will always overlook something someone needs. Another reason is not finding out how the end users want it to look. They often are omitted from the design phase and just left to use it. Worse it’s possible that what is delivered in not even compatible with other things they do. This leads to failure by not being useful, a complete waste of time and resources, especially yours.

TPS-Report

The best way to assure end user use is to have them involved at the earliest stages of the project. If you are selecting the project team or have influence on the team makeup, make sure you get an end user who can speak for that audience. It might be more than one person.

Another way is to keep the end-users informed and allow for feedback. Finding ways to work feedback into your project is another place you would be surprised by how often it is not done.

And finally make sure you build in a testing period before your project goes into production. In some cases this might include the feedback phase, but in big projects there is often a need for end user testing. If you don’t shepherd this effort, who will?

If you are no sure how to go about involving the end users and/or are not sure of who all the end users might be, then you should really answer those questions as early as possible. No one wants to see their hard earned work just end up in the trash bin because it does not fit the need it was designed for.

The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Analytics Culture – The key to using analytics in a business is like a secret sauce that fuels Data-Driven Decison-Making. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization.

A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Conversation About the Reporting Mess

The other day I was hanging out with some friends who work for a company I used to work for and they were talking about challenges they were having with some reports. As I listened, images started filling my mind of the challenges so many companies face. Not having a good data strategy within a business is a killer to both productivity and morale, opens up a company to extra risk and blinds people to opportunities.

The first problem I suggested they tackle is validating their current Key Performance Indicators (KPIs). They need to analyze what is currently being reported to find out what is not useful to the business in making educated decisions.

The second problem is that the people who “own” the data don’t like sharing.  The place where I’d start with this challenges is mapping out the data flow. It would be really powerful to illustrate the different touch points within the flow and most importantly where things get stuck. Then it’s a matter of explaining the big picture to those who might be causing slowdowns.

The third problem is that everyone is too busy to sit down and figure out how to fix things. To solve this challenge, we will need to get everyone on the same page and agree to a common data strategy. This will not be a one and done meeting, but a series of conversations.

So to solve this, my friends need to start with asking questions about what do people really need. In many cases I would expect the answer is no. This is where knowing the architecture comes in handy, so you know where the data lives that is currently missing. After this it’s a matter of storytelling and influencing the “owners” of the data to understand how access to key data would generate more powerful KPIs which would allow everyone to get on the same page.

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It sounds pretty easy and it should be. The ultimate challenge is really getting people to all agree on how to use the data. In some cases, it might take senior management support to get everyone to play nice. And my friends will need data to support their argument on how thing can be better and put some numbers behind their vision of a stronger data-driven culture.

This is where I come in. When inside politics and no one has time to lead the charge, an outside consultant might be the best solution. An expert in not just identifying the challenges and sharing findings, but someone who can actually help facilitate cultural change. People who are equally skilled in both the technical world of analytics and the social world of team building are pretty rare birds.

If you are in a situation like my friends, then I’m ready to help you like I helped them.

Analytics Consulting – DMAIPH specializes in a variety of analytics consulting solutions designed to empower analysts, managers and leaders with the tools needed for more data-driven decision-making. We have helped dozens of companies get more analytics in their business. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can tailor an analytics solution made just for your unique requirements.