109th Daily Writing Challenge

By Bernardus Ari Kuncoro

In IT Ops division

It is inevitable for all companies must meet the certain level of IT maturity. In banking, telco, and e-commerce, they are operating the IT system in a way to fulfill all demand of customers and their internal employees’ needs. The use case sample in IT ops are related to the following

a. Enterprise Resource Planning (ERP) Analytics

Oracle mentioned that ERP refers to a type of software that organizations use to manage day-to-day business activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations. A complete ERP suite also includes enterprise performance management, software that helps plan, budget, predict, and report on an organization’s financial results.

To perform ERP analytics means getting deep into the following activities

  • describe and predict the health of enterprise performance management
  • plan the software needs
  • budget allocation prediction
  • financial health issues

It is very unlikely that those ERP dataset are allowed to be published completely towards all division. IT ops, in this case, can provide the dataset to each of division such as HR for performance management, finance for budget allocation prediction / financial health issues, and procurement to purchase the softwares.

b. IT Hardware Maintenance Support Analytics

It is clear that IT hardware needs to be maintained. Laptops of each employees need to be taken care, for example. It will support the operation process. How can data science help? By predicting what and when the hardware need to be maintained. It helps IT Ops a lot.

c. Software Maintenance Analysis

Most of the time, software updates are tedious. Even though we are updating software into the latest version, there might be issues and sometimes in the end, not useful enough. Data Science team can perform analysis on how the employees or customers need the features in the near future. In the end the updates are well received and implemented.

To be continued …

Kalideres, 17 July 2021


107th Daily Writing Challenges

By: Bernardus Ari Kuncoro

In production subdivision, there are following data science use cases.

a. Demand Forecasting

In a way to support company’s vision and mission, production team have to make sure how many adequate results of the products. This case is a bit complicated, because not only historical data will be significant, but also external data including the buying power, season, and trend of the market. For data professionals, you need to be aware of those data sources, even ‘unknown data’.

The Demand Forecast vs Actual Sales (Photo was taken from here)

b. Strategy and Operation Planning

To become an impactful and efficient company, strategy and planning in operation are fundamental. Every step of production must meet the criteria of the optimization. In a service company such as banking, for example. There is a specific need on each branch to prepare enough cash money.

This use case is real in one of the biggest bank in Indonesia (Bank Rakyat Indonesia) whose branches located in all of the Sub regency in Indonesia Archipelago. They perform machine learning modeling by using the historical data on each branches and unit. The cash money prediction result will be reference for them to stock the cash money in the office.

Cash optimisation for BRI Branch Offices and Business Units

c. Operational KPIs Dashboard

Each divisions has goals to reach the company’s mission. Usually they use Key Performance Indicator to track the routine tasks. The dashboard will show how many products have been produced, challenges and problem lists, and so on.

d. Product Allocation

Mapping the number of produced items based on the condition in the market is very crucial. Imagine the Unilever produce the bar soaps. Usually they will use historical data, either it is based on seasonality or trend.

e. Predictive Maintenance of Manufacture Machines

Imagine you have the machines from a toaster that you use for breakfast to a computer that you utilize for working. Realize or not, if they fail, what will be the impact? We might not be productive, right? You will not have a toast bread ready. Hungry. Cannot work. Therefore, the quality of a machine is not only based on how useful and efficient, but also how reliable. To be reliable, maintain the machines is obligatory. I recommend you to read this article to jump start the business problem and solution options.


106th Daily Writing Challenge

By: Bernardus Ari Kuncoro

2. Use Cases in Operation

Operation division’s goal is to make sure all the products are ready. The results should met the quality and quantity expectation of the market.

This division is where inputs, or factors of production, is converted to outputs, which are goods and services.

Operations is the heart of a business providing goods and services in a quantity and of a quality that meets the needs of the customers. Operations control the supply chain, including procurement and logistics.

Use Cases in Operation

To be continued

Kalideres, 13 July 2021


104th Daily Writing Challenge

By: Bernardus Ari Kuncoro

It is essential for data professionals know and be familiar with the bank of business problems. The more and various problems they face, the more they become experienced. In this article, I would like to frame the overwhelm thinking about business for data professionals.


  1. Introduction
  2. Use cases in Operation
  3. Use Cases in Finance
  4. Use Cases in Marketing
  5. Use Cases in R&D
  6. Conclusion

1. Introduction

Three common divisions in profit-oriented organization that include Operation, Finance, and Marketing

Most of the time, we found that profit-oriented organizations have at least three division. The one that is responsible for production that includes supply chain, and IT Ops. We frequently call it as Operation. The Finance team that includes Human Resources, accounting, and procurement. And also marketing, the division which is responsible for sales, marketing, and customer service. Last but not least there are some fully funded organizations who have budget for innovation, thus they add more division like Research and Development (R&D).

Additional R&D division that might be more relevant to organization that prioritize the innovation. Note *HR can sometimes standalone or be under operation.

2. Use Cases in Operation

To be continued.

Kalideres, 13 July 2021