Read this article about IBM, Finalist in the Best Achievement in Data Analytics enabling Operational Excellence, selected by the independent judging panel, for the 2020 Business Transformation & Operational Excellence Industry Awards program.
The primary goal of this initiative was to create predictive metrics that would allow our teams to identify potential issues, such as; services request cycle time increase and workload change and based on this, mitigate the risks associated with these changes rather than be reactive.
The scope of the initiative was around building a forecast of the timing and the volume of requests so to understand the trend at Market level and to identify the pain-points both at GEO, Market and Team level. Forecasted data are extremely useful with the management of the activities, especially if, as in this case, the model gives back not only a prediction, but also a prescriptive analysis of the possible causes and the actions to do to avoid negative impacts on the metrics and consequently, on the performances.
Since its 1st Iteration, following the Agile methodology, using specific calculations of the open backlog and the Market behaviour the users have been able to predict, with high accuracy, what will be the expected Cycle Time along the following Quarters. It is used as part of our metrics toolkit and allows to anticipate Cycle Time and workload peaks and see if there are any actions to mitigate this before happening and affecting the whole geography Cycle Time.
Currently, the Data Analyst (DA) Team delivers a weekly report that contains insights on; Current Backlog Generation Ratio (that is an immediate indicator that an action must be taken if ratio is bigger than the predicted upper bound) that includes a summary of Backlog Percentage of Closed Requests in Current Month out of total requests plus analysis on Cancelled Requests in Current Month out of total requests and Open Requests in Current Month out of total requests. The Top 5 Relevant Aging Requests, that is a list of the most aged request details and aging days with the request owner and Request Type details so to allow the users to take instant action to sort them out; a Prescriptive Analysis called Anomaly Report, where all the requests with an abnormal behavior are highlighted; and a Cycle Time Prediction for all the Markets plus a prediction at the geography level.
Thanks to this prediction model and the report deployed by the DA Team, our organization is now able to anticipate deterioration in our metrics and to build a plan to mitigate its impact before it happens, allowing our Teams to act in time.
Every forecast is a lesson. Once the lesson is learned and you have the knowledge of why metrics are following a specific trend, you can help your business to proceed in the right direction and constantly improve through the further prescriptive analysis provided, because knowing what will be the trend of this metric in the next future, will give us the opportunity to beat the prediction and improve our performances.
The Business Transformation & Operational Excellence Awards have been established to showcase globally the most outstanding organizational achievements through the application of Operational Excellence programs. Click here to view the Press Release.
The winners will be announced at the Awards Ceremony at The Business Transformation & Operational Excellence World Awards (BTOES) on Wednesday, March 25th, 2020, from 6.30pm in the Venetian Ballroom at the Loews Portofino Bay Hotel at Universal Orlando Resort.
The Business Transformation & Operational Excellence Awards are open to all organizations, both private and public sector, across the globe, which have implemented Operational Excellence programs to deliver outstanding business results.
The Awards will be held in conjunction with the Business Transformation & Operational Excellence World Summit, BTOES 2020 in the beautiful Venetian Ballroom on March 25, 2020 at the Loews Portofino Bay Hotel at Universal Orlando™️. Click to access the agenda, view the current speakers, and watch the highlights video from last year.
BTOES is the industry’s biggest and best, senior-level, cross-industry gathering of Business Transformation & Operational Excellence industry leaders and senior executives.
It also hosts the Business Transformation & Operational Excellence Awards, which showcase globally the most outstanding organizational achievements through the application of Operational Excellence programs.
The summits hosts a number of private forums for C-Level & Global corporate-level leaders as well as business unit heads.
With over 150 speakers, over 100 sessions, 12 Keynotes, 9 Track Themes, 5 parallel tracks, 60+ track sessions, 50 roundtable discussions, 20 Interactive Workshops, 6 Thought Leader Panels, 5 Leaders Boardrooms, 5 co-located events, the Industry Awards Program, Site Visits, 20+ hours of social networking including 2 gala cocktail parties, dinners, numerous group activities, this is the ultimate event to benchmark, network and drive Operational Excellence to the next level.
There is a strong focus on Cultural Transformation, Customer Delight, Sustaining an Operational Excellence program, Need for end-to-end Business Transformation, Keeping up with new technologies/impact of digitalization and Leadership Buy-in & Understanding. We dedicated two tracks to advanced technologies, such as AI, Machine Learning, RPA, Predictive Analytics, Blockchain, Cloud infrastructure etc.
The agenda is designed to encourage active meaningful conversations though all day enhanced networking and interaction opportunities, including
All-day Refreshment & Themed Breaks
1¼ Hour Hot Breakfast Networking Sessions
1½ Hour Hot Plated Networking Lunches with Topic & Industry Sector focussed tables
1½ Hour Roundtable Sessions by Topic & Industry Sector.
Keynote & Themes Panel Sessions
Hosted Welcome Receptions from 5.30pm
Expanded more lavish Awards Program
Newly launched Night Summit for attendees to meet after dinner
For more information or to discuss the summit in more detail please schedule a call below,