Top
Altius ONE
Altius ONE Data Platform

Altius ONE Data Platform

Altius ONE Data Platform is a contact-center based data utilization platform service for analyzing and visualizing customer insights combining internal and external data, centered on customer contacts.

Inquiries

Supports new data utilization to analyze and visualize diverse customer insights based on data collected by contact centers

It provides a new data utilization platform for extracting customer insights from data relationships and trend analysis, by collecting and integrating on a single platform diverse data from customer contacts, such as inquiries by channel, customer FAQ views, and VoC (Voice of the Customer).

Altius ONE Data Platform service flow

Data-driven service menu

Workload/call-load forecasting

Analyzing statistics and trends and more advanced forecasting through machine learning based on data from past inquiries
VoC analysis

Supports new engagement through means such as data collection, analysis, emotion recognition, and use of generative AI based on the voice of the customer
Cancellation analysis

Analyzing customer attributes, purchase frequency, web views, inquiry logs, and other data to analyze cancellation trends Supports new retention measures
Customer success

Analyzing optimal customer follow-up opportunities from past inquiry trends and internal corporate data. Supports effective CX
DX results verification

Analyzing results of data-driven digital transformation (DX) such as chatbots and FAQ revision. Supports stronger self service
Marketing

Supports upselling and cross-selling through analyzing past trends on inquiries by product and internal purchasing trend data

Data utilization service and support menu

Data generation

Supports methods of extracting data collected by contact centers from PBX, toll-free calls, etc.
Data utilization

Data consultants specializing in contact centers support tasks from data structuring through selection of valid data
External data utilization

Supports a multifaceted analytical environment through comparing past trends on inquiries and internal data with open external data

Workload/call-load forecasting menu Service flow

Completes all processes from data collection through verification in as little as a few weeks
Can minimize lead times and cost through start of operation

Organization of requirements
Checking data to use
Forecast model development/improvement
Test analysis
Start of operation

User case studies

Data utilization solutions in various industries are described below.

Challenges

Lack in practical proposals that match customer needs and purposes
Hope for increasing per-customer prices and purchase rates

Proposal

Analyze customer data and make personalized product recommendations to increase purchase rates

Streamlined sales-out
Marketing
VoC analysis

Examples of usage data

In-house

Client data
Selling data
Sales data
PBX data
Campaigns data
CRM data

External

Trend data

Challenges

Rapid increase in inquiries and orders at new product release, new school term, etc. places difficulty in efficient operation handling.
We want to reduce the churn rate of long-term users and promote additional contracts for optional services etc.

Proposal

We forecast operation volume for inquiries etc. based on past sales data and optimize service resources to avoid losing service opportunities.
We analyze customer data and provide information on products and campaigns tailored to each user based on their contract periods and products.

Streamlined sales-out
Workload/call-load forecasting
Retention (churn analysis)

Examples of usage data

In-house

Client data
Products data
Sales data
PBX data
Points data
CRM data
FAQ data

External

Trend data

Challenges

Lack in practical proposals that match customer health conditions and purposes
Difficulty in acquiring new customers, with particular issues in approach to the youths

Proposal

Analyze customer data and enclose personalized health-focused product information in scheduled deliveries
Periodic and generation-oriented new product information based on the latest health trends

Streamlined sales-out
Marketing
VoC analysis

Examples of usage data

In-house

Client data
Selling data
Sales data
PBX data
Campaigns data
CRM data

External

Trend data

Challenges

Personalized electricity plan proposals are required based on diversified customer needs.
Difficulty in handling many inquiries from customers due to demand fluctuation and outage information

Proposal

We analyze customer data for examining plans tailored to the needs of each household.
We analyze PBX data for grasping peak calls and service time.

Marketing
Retention (churn analysis)
Workload/call-load forecasting

Examples of usage data

In-house

Customer attributes data
Sales data
Contract data
Usage data
Campaigns data
PBX data
FAQ data
CRM data

External

Weather data
Trend data

Challenges

In post-purchase support, data utilization is slow for enhancing customer loyalty.
We want to provide more effective services by linking vehicle specs with customer support history.

Proposal

Based on sales promotion data and customer data, we identify customers at high replacement risk and implement measures for achieving continued use, such as personalized privileges and suggested renewal contracts.
Through the combined analysis of vehicle data, PBX data, and CRM data we improve support quality by making one-on-one service proposals that suit the customer’s vehicle specs.

Streamlined sales-out
Marketing
VoC analysis

Examples of usage data

In-house

Client data
Selling data
Sales data
Maintenance data
Campaigns data
PBX data
FAQ data
CRM data

External

Trend data

Challenges

We want to strengthen marketing to acquire new customers.
Demand tends to rapidly increase during typhoons and other extreme weather events, making it difficult to secure resources and operate efficiently.

Proposal

We analyze usage history to identify frequently used services and trends among repeat customers and use the data for personalized suggestions for repeat use.
By using past service request data, we forecast demand by time zone of the day and by region, thereby planning appropriate shift allocation.

VoC analysis
Marketing
Workload/call-load forecasting

Examples of usage data

In-house

Client data
Selling data
Sales data
Accident data
Campaigns data
Maintenance data
PBX data
CRM data

External

Weather data
Traffic data

Solution Partner

We are gradually expanding our network of partners who help enhance the value of data within our contact center.

Sources/related information

Altius Link concludes a business alliance agreement with Flywheel in the data business field
https://www.altius-link.com/news/detail20240702.html
Flywheel, Inc. Conata® features
https://www.flywheel.jp/conata/

Related Services

Please feel free to contact us by telephone or using a form to request documents or explanations on our services.

Request documents

Inquiries

Altius ONE Data Platform

Supports new data utilization to analyze and visualize diverse customer insights based on data collected by contact centers

Altius ONE Data Platform service flow​

Data-driven service menu​

Workload/call-load forecasting

VoC analysis

Cancellation analysis

Customer success

DX results verification

Marketing

Data utilization service and support menu​

Data generation

Data utilization

External data utilization

Workload/call-load forecasting menu Service flow​

User case studies​

e-Commerce/mail order

Telecommunications

Health foods maker

Electric power

Automaker

Roadside service

Solution Partner​

Sources/related information

Related Services

Altius ONE for Support

Altius ONE Data Platform VOX

Altius ONE Data Platform service flow

Data-driven service menu

Data utilization service and support menu

Workload/call-load forecasting menu Service flow

User case studies

Solution Partner