IsDB Tools Word Add-In for Document Processing by Yasir Gorpe, Treasury Department
An IsDB Tools add-in appearing on the Microsoft Word ribbon provides easy-access to:
Official corporate templates,
One Corporate Identify Manual,
One-click text formatting in line with the Corporate Identity Manual,
One-click IsDB Logo,
One-click send draft and send PDF,
Proofing in the three official languages of the Bank,
Gregorian and Hijri calendars, ability to configure default folders for quick archiving.
The tool will encourage staff members to be familiar with corporate identity guidelines, and allow distribution of standardised templates among all users / staff in the future.
I-Coach Platform by Mohamed Ibrahim, IRTI
I-COACH is a coaching platform that gathers leaders, managers, business line experts and heads, senior and junior staff under one consolidated platform.
Mentees on the platform can seek professional advice of fellow IsDB employees who are designated as mentors on the platform according to their areas of expertise. The platform provides an opportunity for staff to coach each other on the Bank’s diversified lines of business, for the betterment of services the Bank provides to its clients and/or member countries. For instance, an agriculture expert may request coaching from an energy specialist, while an investment specialist can request mentorship from an SDGs specialist.
I-COACH platform has the potential to support the development of individuals as well as IsDB’s organizational culture to foster a collaborative approach towards leadership.
Workplace Ergonomic solutions by Ima Kashim, ESID
This project aims to improve employee's health in the workplace and promote a culture of "wellness ' for IsDB staff through i) proactive ergonometric solutions to prevent musculoskeletal disorders (MSD) for people without injuries, ii) reactive ergonometric solutions for people who already have MSD. MSDs are the leading cause of pain, suffering and disability in the American workplace today.
Prolonged sitting in the office is associated with an increased risk of premature mortality (Wilmot et al. 2012; Biswas et al. 2015) increased risk of obesity, the metabolic syndrome, type 2 diabetes, some cancers and cardiovascular disease (Hamilton, Hamilton, and Zderic 2007; Gierach et al. 2009; Katzmarzyk et al. 2009; Lynch 2010; van Uffelen et al. 2010; Proper et al. 2011; Wilmot et al. 2012; Chau et al. 2013). High levels of sitting cannot be compensated for by leisure-time physical activity, even if activity levels exceed current guidelines (Katzmarzyk et al. 2009).
THE 5 RUNNER UPS:
Fully Automated Dynamic Financial Model for Awqaf Projects by Hassan Mahfooz
For financing purposes, projects need to be assessed for technical and financial strength. A key component of project appraisal is financial analysis. A systematic methodology is proposed to address the various issues in the financial model that is currently used for financial analysis:
The model review and feedback by members of different committees,
Preparation of different financial models and identification of key issues,
Identifying additional issues based on best industry practices,
The final draft of the model was, then, prepared.
Self-Service Portfolio Analyser by Sidi Mohamdy Nemine
The SELF-SERVICE PORTFOLIO ANALYSER aims to improve portfolio performance by giving every staff/manager the opportunity to conduct their own analysis on different project measures (ages, amount, CUC, numbers etc.) at different dimensions (e.g. sector, division, region, country, profile, OTL, etc.) by using an innovative method that allows them to easily pick and compare performance at different periods like before and after decentralisation, and before and after managerial appointments through a user-friendly advanced tool.
Triangle of IsDB Global Value Chain Approach’ Digital Tool Chains by Ammar Loya
This concept revolves around driving development by improving competitiveness of industries that have the highest potential to be connected to markets through global value chains. This process involves quantitative analysis of data, to identify industries with the highest potential, currently obtained from UN-Comtrade, followed by qualitative analysis to identify obstructions to the development of these industries, and design interventions to relax these constraints. Quantitative analysis involves the extraction of a huge amount of data from UN-Comtrade, followed by calculations of various indices, including RCA's (Relative Competitive Advantage), PCI's (Product Champion Index) and Value-Added indices.
Currently, data is manually extracted for each country for calculations on Excel, which is very time-consuming. This project proposes to, first, automatically web-scrape the data from UN-Comtrade using an in-house-built visual basic algorithm. The data will then be processed on another MATLAB algorithm, saving a great deal of time for the GVC selection study, and relevant indices are calculated automatically. The final phase of this project would be integrating this data onto a digital platform making it accessible to all.
Innovative App Toolkit by Bayan Atallah Almazroui
The 'IsDB TOOLKIT' is an assortment of influential and adaptable resources for employees that is designed to equip them with the essential knowledge to learn and identify approaches for addressing their work.
The proposed toolkit is a one-stop software application that brings together business processes and templates consisting of step-by-step guiding notes for:
Communication and marketing for all IsDB external funds (e.g. branding-animation-videos-website, etc.),
Innovative tools for resource mobilization (e.g. crowd-crowd engagement, cash-Waqaf- Sukuk-etc.),
Corporate procurement process.
The toolkit is meant to offer practical advice and guidance regarding any issue of concern especially when the issue is rising and evolving, or well-established processes for addressing them, which are not yet widely adopted.
AI-assisted knowledge management at IsDB by Abdul Baquee Muhammad
This initiative aims at empowering IsDB staff to produce quality knowledge products through the help of AI, machine learning and text mining tools and techniques. This initiative intends to engineer the usage of such cutting-edge tools and architect a solution that intelligently harvests tons of both internal and external documents and produces clusters of concise and relevant content that aids the author in his/her knowledge product.
Existing AI natural language processing applications will be used, such as text similarity, sentiment analysis, text classification, named entity recognition, and text summarization among other possible add-ons. Part of this suggested solution is maintaining a website containing these AI-assisted knowledge products categorised into smaller knowledge units, providing website visitors with all sorts of social interactions like comments, tags, intelligent searches, sharing and much more.
Over time, and like any typical machine learning system, this solution self-improves and gains quality and accuracy by including more contents.