Need Statement
SMEs need the right data to make informed decisions.
The Problem
SMEs Owners
Owners doubt their decisions because there is a lot of uncertainty in the market. Sometimes they will have to use their gut feeling.
Financial Controllers
It is very difficult for financial controllers to view the right data and to ask the right questions because departments are very siloed.
These are the two roles in SMEs that make the most important decisions, and they are not sure if the correct ones had been made because of the ambiguity within their businesses
The ambiguity is caused by the insights below
Insight 1
Siloed systems within a single business
Different types of data of different departments were stored and collected in different applications.
For examples, finance data is stored in Xero and operation data is stored in the POS system. Financial controllers need to login twice onto two separate accounts to extract these data.
Insight 2
Not all data is needed for one decision
Making a decision is like asking a question, only a specific kind of data is needed for a single decision.
For example, when business owners want to know the performance of his ad campaign which leads to the website of the company. He will go to google analytic for the click-through rate only.
Insight 3
Decision makers are looking at forecasts
A lot of business decisions are made based on the forecast. Decisions are usually made ahead of time.
For example, businesses make their budget for various strategies, events, plans before they are carried out. It is important to have the budget to decide if these plans should be executed.
The Solution
A all-in-one platform which integrates data from different systems and forecasts possible scenarios.
Gini
Gini is a desktop application which integrates applications used in different departments. Using the data of these applications, Gini predicts future possibilities with its built-in machine learning algorithm.
How it works
There are 4 integral parts in Gini
1st part
Node Connections
2nd part
Data Overview
3rd part
Data Customisation
4th part
A.I. Predictions
Node Connections
Integration of systems of different departments
Users can integrate systems of different departments and these data are visualised and categorised as nodes, users can drag the corresponding nodes into the data overview section to view the data within.
Data Overview
Compare data across departments
Data of different departments can be put side by side for quick comparison and enable alignment between teams on a single screen.
Data Customisation
Choose the right data
A filter system is implemented for quick selection of data. A customised set of data are extracted to generate a report which is tailor-made for any specific purpose to facilitate the decision making process.
A.I. Predictions
Simulation of scenarios before executing
With the built-in machine learning algorithm, historical and relevant data are taken into account and future projection of these data are shown graphically. Different suggested options are provided by the A.I. machine learning algorithm. Users can adjust the figures of the options provided by A.I. to simulate the result of a decision.