ABILI Board

Visualize "store combat power"
and use data to improve productivity and achieve results

Multi-location business-specific management dashboard

ABILI Board Strengths

STRENGTHS

経組織内に点在するあらゆるデータを集約した貴社専用のダッシュボードをスピーディかつ安価に構築。�
多拠点ビジネスの成長を阻害する”バラつき”やボトルネック、
店舗に潜在する”戦闘力”を可視化することでデータに基づいた意思決定と実行をご支援します。

Connected Apps & Platforms

Below is a sample list. Please contact us to inquire about connecting to other tools.

Cloud Service	ーUbiregi API ーSalesforce ーSlack Activity Analysis ーSlack Message Analysis ーGitHub Activity Analysis ーfreee ーGoogle Workspace ーSmaregi ーMarketo ーSpotify, etc.
Social Media (SNS)	ーTweet Data + Text Analysis（Basic, Pro）ーYoutube Video Analytics ーYoutube Channel Analytics ーInstagram User Insights ーInstagram Media Sites, etc.
EC	ーRakuten Market ーRakuten Books ーecforce ーShopify, etc.
Advertising	ーFacebook / Instagram ads & analytics ーYahoo ads ーTiktok ads ーLINE ads ーTwitter ads ーGoogle ads, etc.
Storage Services	ーAmazon S3 ーGoogle Cloud Storage ーAzure Blob Storage ーGoogle Sheets ーGoogle Drive ーBox ーDropbox, etc.

Challenges of utilizing Data x Multiple Stores,
ABILI Board is here to help

PROBLEM

Differences in sales
and quality
between stores and locations

Visualize
and optimize
human capital

Aggregates various data associated with store and location operations and visualizes their correlation and impact on sales and profits.
Find out the bottlenecks and factors behind the strong performance of each store and location, and achieve a cycle of growth.

By not only visualizing human data, but also looking at correlations with store sales data and other data,
ROI can be visualized and optimized for human capital management.

Issues with information sharing between headquarters and the field

Data is
scattered in
various departments and cannot be utilized

Quantitative data that is known by top management and headquarters can be broken down into various perspectives, such as business type, area, store, and product,
and shared with the field at the necessary granularity.

Using numbers as a common language, we support data-driven business management and the improvement of the execution capabilities of organizations that produce results by making specific issue definitions,
measure planning, call to action, and effectiveness measurement permeate the organization.

Fewer costs
and man-hours available for data analysis

Limited human
resources to
handle data...

By replacing data aggregation/processing/visualization with a structured dashboard, we
help reduce man-hours, increase efficiency, and speed up data-based management decisions.

Lower initial costs due to the availability of your own single platform as opposed to a general BI infrastructure. Monthly operational support is also included in the fee,
and can be flexibly customized to meet your needs.

Expensive BI tools have been installed
but are not being well used

Visualization is possible
but does not lead to concrete improvements

Designed specifically for multi-location businesses, the analysis is narrowed down to elements and items that are effective for the improvement process.
We realize data utilization not only for visualization, but also for subsequent improvement of execution.

ABILI can provide a full range of support, including systems for execution and support by professionals with extensive experience in solving problems in multi-location businesses.

Case Studies

CLIENTS

Art Candy Shop PAPABUBBLE
CEO talks about his expectations for the introduction of ABILI
〜ABILI Brand Press Conference Report〜

We thought it was necessary to build a system that would allow the field to see the points of improvement and areas of focus. Also, it is not enough just to be able to see the numbers and data; it is also necessary to ensure that what the management team understands and analyzes is incorporated into the field. We chose ABILI not only because they were able to achieve all of these things, but also because they were able to respond quickly with agile development.

ABILI Board Use Scenarios

CLIENTS

Case.1

Various scattered data were integrated into the ABILI Board.
As a result, it was found that the average number of items purchased was higher at the best stores with high customer satisfaction, and good practices were deployed horizontally.

Case.2

Daily sales data and labor hour data for each store are combined to calculate man-hour sales.
Convergence of variation
was implemented by directly working with stores with high variation and by promoting DX of training.

Case.3

Visualize turnover rates from employee enrollment data and match them with data on the use of digital tools.
As a result, it was found that employees who utilize tools more frequently in the early stages of employment tend to stay with the company longer.