Business Transformation, Automation and Data Analytics Consultants
Industry Examples
Automation in Accounting
The accounting industry will see significant changes to the industry over the next decade. The dual combination of increasing sophistication and reliability of bots and large language models will result in the creation of new services for clients, and changes in the cost structure of service provision.
The large international accounting firms have started investing heavily in automation and AI. The mid-tier and small accounting firms are lagging behind. If these mid-tier and small accounting firms do not start investing in automation and AI tools to improve their productivity and standard of service, they will be left behind in terms of service offerings and costs. The firms that do not invest will lose market share to those that invest.
University Restructuring
The general decline in birth rates in many parts of Asia has triggered a crisis among many private universities due to rapidly-declining student enrollments. The declining student enrollment causes revenues and operating profits to decline, beyond a point which unversities start operating at an unsustainable loss. The big issue is increase the university's competitive and reverse the declining revenues.
Many universities do not use a data-driven approach to strategic planning and daily operations. They often lack the people with relevant experience in implementing data analytics in a university, as well as a lack of appreciation of the power of data analytics among the existing teaching staff and school administrator.
Food Stores that want to scale.
Many food retailers lack the resources to build an organizational structure that can scale.
Successful food retailers who want to scale up their operations require infrastructure. In particular, they require a comprehensive data infrastructure in order to keep track of food quality, food supply and delivery, procurement and various other aspects of the operations. Scaling up a food retail operation implies increasing production without sacrificing quality. The only way to do this is to keep
Plantations Estate Management
Managing large estates has tended to be a labor-intensive affair due to the lack of trained personnel and IT infrastructure. In order to remain competitve, plantations need to increase productivity and reduce costs by employing modern automation technology and data analysis. This is particularly important in the current global environment of rapidly-increase labor costs.
Estates often lack the trained manpower to manage complex software systems. They also sometimes operate in difficult environments where internet connections and electricity supply are unstable. The software has to be simple (easy to use), comprehensive (able to cover many tasks) and resilient (able to operate even with unreliable data infrastructure).
Consumer
Consumer companies today have to grapple with collecting and processing a significant amount of data at multiple levels:
Consumer facing data: consumer preferences, buying habits, reviews among many others
Operations data: inventory management, shipping data, procurement
We work with consumer companies to improve their consumer insights from consumer-facing data, which is useful in marketing and pricing strategy. We also help clients to use the operations data to improve their operational efficiency, minimize inventory problems and improve their procurement strategy.
Most smaller and medium-sized consumer companies lack the resources and expertise to collect, update and process the large amount of data required to run a data-centric business.
Data Analytics for Fundamental Investment Research, Factor Investing, Systematic Investing
The field of Fundamental Investment Research has changed substantially in the past few years with the increasing power of software tools that can substantially increase the productivity of investment research analysts.
Increasing use of Alternative Data
Increasing use of Computer Algorithms to analyze large amounts of data
Increasing use of Web-scraping to collect publicly-available data
Increasing use of Computer Algorithms to develop and test new investment strategies
We work with clients to develop the tools for incorporating data analytics into the field of Fundamental Investment Research.
Most fundamental investment research analysts are not trained as computer programmers.
The time cost of using research analysts to develop computer programs is too high.
Many firms do not have the resources or desire to hire a large team of computer programmers to develop capabilities in-house.
