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Enterprise System Pitfalls: Summary
Today I’m wrapping up a series of posts on the broad topic of Enterprise System Pitfalls. In this series, my hope was to help shed light on the primary problems that cause us to miss budgets, fall short on capabilities, or completely fail when implementing an enterprise system. 

The Year in Review
As 2019 comes to a close, it’s time to count our blessings. One of mine has been the privilege (and fun!) of being able to reach out to so many interesting companies and get them to tell me what they’re doing that’s different, disruptive, and game-changing. The list of things I have to write about in future columns has only gotten longer in the nine months since I started writing this column.

Sustainable Innovation
Sustainability can yield multiple benefits to hotels. Saving energy and water yields direct cost savings. Revenue can be generated by guests who prefer to deal with businesses that minimize their environmental impact. And many would argue that conserving scarce resources is simply the right thing to do.

Meetings Innovation
The sale and delivery of groups and meetings is perhaps the most significant and under-automated functions for many hotels. Even though groups often account for 30% to 60% of revenue, most group bookings are still handled manually for most if not all of steps, as they move from a meeting planner’s research to a confirmed booking.

The biggest enemy to any system is complexity. In a system of inputs and outputs, such as an enterprise system, more complexity means more parts are used in interaction with inputs to create the outputs. Every part that must be built and maintained costs time and money

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Part 10: Flex Your Data Muscles: A 12-Month Challenge to Get Analytics Working For You

by Samuel Ayisi

Welcome to Part 10 of our 12-month “Flex Your Data Muscles” analytics challenge. We hope that the monthly tasks associated with the analytics challenge have been worth your while. If you’re just getting to know about the challenge, click here to refer to the Hospitality Upgrade newsletter issued in January 2015 to learn more.

Realizing the Value of Analytics

The value of any analytics effort can be measured by how closely it meets the intended objectives, i.e. why were the analytics done in the first place? Was it done to support decision-making, provide feedback, manage and monitor performance, develop a better understanding of a business challenge, or predict the future? Whatever the goal, the true value is not realized until the analytics is used to effectively fulfill the intended objectives. This implies that if, for example, the analytics was developed to support decision-making, then it has to be used to support the relevant decisions. Otherwise, the analytics effort may have been futile.

One of the most challenging aspects of the analytics journey is putting the analytics developed into meaningful use, i.e. transforming the insights obtained from the analytics into action. This can be particularly difficult if the desired objectives were not previously established or if the analytics cannot be readily put to good use. In most hospitality scenarios, it would be prudent to establish your analytics objectives prior to devoting resources to the analytics effort. Then align the resulting analytics to the stated objectives to determine whether the value of the analytics have been realized.

A Review of Last Month’s Challenge: Improving Your Analytics
During last month’s challenge you were required to consider the various ways in which the analytics you have performed so far can be improved. A number of suggestions were provided including;
  • the use of simple visualizations to help clarify your analytics;
  • improving your analytics skills;
  • seeking the opinions of your target audience; and
  • analyzing the same data set in a different way.

The challenge also tasked you to add a simple visualization (chart or graph) to the analytics you’ve done so far. Nothing fancy was required, thus a simple bar chart or a table with conditionally colored cells using any readily available analytics tool would fulfill the requirement. Hopefully you received some useful and constructive feedback from those you shared your analytics and visualizations with.

Some people grasp analytics much better when it is visualized, thus very little harm is done by adding simple visualizations to your analytics. As the adage goes, "a picture is worth a thousand words." 

Series Recap: What We’ve Done So Far



What we did


Challenge #1 - Where is my data?

Identify and create a list of your various data sources (both internal and external).


Challenge #2 - What’s in my data source?

Figure out exactly what's in your data sources.


Challenge #3 - What questions do I have?

Identify and list the top five business questions that you frequently need answered. It didn't matter whether you currently get all the required answers or it's on your wish list.


Challenge #4 - What data can help answer my questions?

Map your information needs to your data sources. The emphasis was to utilize the information gathered during the first two challenges, and identify any data gaps.


Challenge #5 – Time for pit-stop

Review and refine results achieved so far.


Challenge #6 – Let’s get some data.

Get the data needed for your analytics.


Challenge #7 – Which analytics tools should I use?

Selecting the “best-fit” analytics tool.


Challenge #8 – Let’s do some analytics

Perform some simple analytics and benchmarking tasks.


Challenge #9 – Improving your analytics

Continuously improving your analytics.


Challenge 10: Making Effective Use of Your Analytics

I have my analytics, now what?

So you’ve completed your analytics or received a set of analytics. What next? It’s now time to transform the insights from your analytics into action. The actions taken based on the analytics insights should be seen as value-added when compared to actions not supported by analytics. This does not imply that decisions should be based solely on analytics. However, analytics insights should be given a stronger weighting during decision-making. Remember that analytics by themselves do not solve your business challenges. Rather, they provide guidance when taking actions to solve these challenges.

For the purposes of this challenge, the goal of the analytics you performed was to help answer your top business challenges identified during the earlier part of the series. So now is the time to find out whether your analytics helps to provide guidance to effectively deal with the identified business challenges. This is the “now what?”

As you review the results of your analytics, also take time to identify other areas in which the analytics could potentially be relevant. 




·         During the next few weeks, use your analytics to answer at least one of your top five business questions identified in Challenge #3.

·         During the next few weeks, encourage the use of analytics to support decision-making related to the top four problematic subject areas identified in Challenge #3.

·         Also review the KPIs and benchmarks identified in Challenge #3 for effectiveness. Do they provide a solid foundation for performance management?


Comments and Hints

Basic Level:  The purpose of Challenge #3 was to set the goals for your analytics, thus the analytics you chose to perform should have been relevant to the top five business questions identified. If your analytics do not provide an answer to any of these questions, then it would be prudent to redo Challenges #4 through #9 to enable you answer at least one of the top five business questions.

Advanced Level:  Data-driven decision-making should be encouraged at all levels within the organization, especially when it comes to problematic subject areas. One way to enhance encouragement would be to share analytics-related success stories from within the organization.

Collaboration Forum

I encourage you to participate by commenting on the newsletter posts or via our forum, to enable you to ask questions of each other, discuss how challenges were tackled, and also raise issues/problems that you encounter. Comments are meant to be interactive as well as educative, thus I’ll urge users to be respectful of each other.

About The Author
Samuel Ayisi
Head of Analytics
Leumas Solutions

Samuel Ayisi is the head of analytics with Leumas Solutions. He can be reached at

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