AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Datachoice Solutions Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
ProfitWell Legacy ProfitWell Metrics Subscription and Recurring Billing ERP Financial Management n/a 2022 2022
Subscription and Recurring Billing ERP Financial Management 2012 2012
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Zendesk Legacy Klaus Workforce Analytics Workforce Analytics HCM n/a 2020 2020
In 2020 Datachoice Solutions implemented Klaus Workforce Analytics, deploying the application as a Workforce Analytics solution for its customer service and CRM operations in the United Kingdom. The deployment used Klaus Workforce Analytics to formalize conversation-level quality assurance and peer review workflows across the support organization. Configuration focused on conversation peer reviews and systematic QA scoring aligned with coaching workflows, leveraging Klaus Workforce Analytics capabilities for conversation evaluation, scorecards, and coaching notes. The implementation centralized QA activity to improve internal information sharing and to create repeatable coaching artifacts for agents and team leads. The vendor on the project is Zendesk and the rollout integrated with Zendesk QA to operate conversation-level reviews within the customer service and CRM team, with the operational scope reported as UK based. A vendor case study for Geckoboard published by Zendesk reported a tenfold increase in proactive help after implementing peer reviews with Zendesk QA in 2020. Governance emphasis was placed on structuring peer review governance and embedding systematic coaching workflows to support continuous knowledge transfer and information sharing across the service team. Reported benefits in the source material center on improved internal information sharing and coaching effectiveness as a result of the Klaus Workforce Analytics implementation.
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
MadKudu Legacy MadKudu ML and Data Science Platforms AI Development n/a 2016 2016
In 2016, Geckoboard implemented MadKudu, an ML and Data Science Platforms application, to power real time lead scoring on demo and trial signups. The deployment focused on feeding MadKudu scoring into Geckoboard's sales and marketing workflows to route high fit prospects to sales across the United Kingdom. The implementation centered on MadKudu's real time scoring capability and form routing, with integrations to Clearbit for profile enrichment to inform model signals and immediate CRM handoff. Clearbit and MadKudu writeups indicate Geckoboard was able to predict approximately 80% of conversions from about 12% of signups after scoring was applied, and the project required configuration of scoring thresholds and routing rules to change lead assignment and accelerate sales engagement.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2011 2011
Collaboration Collaboration 2022 2022
Survey and Questionnaire Collaboration 2021 2021
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Support CRM 2013 2013
Customer Support CRM 2018 2018
Marketing Automation CRM 2016 2016
Sales Automation, CRM, Sales Engagement CRM 2021 2021
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Incident Management ITSM 2015 2015
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2012 2012
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2015 2015
Application Hosting and Computing Services IaaS 2018 2018
Cloud Storage IaaS 2010 2010
Content Delivery Network IaaS 2022 2022
IT Decision Makers and Key Stakeholders at Datachoice Solutions
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Datachoice Solutions Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Datachoice Solutions Technographics

Datachoice Solutions is a Professional Services organization based in United Kingdom, with around 1 employees and annual revenues of $1.0 million.

Datachoice Solutions operates a diverse technology stack with applications such as ProfitWell Metrics, Klaus Workforce Analytics and MadKudu, covering areas like Subscription and Recurring Billing, Workforce Analytics and ML and Data Science Platforms.

Datachoice Solutions has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as ProfitWell, Zendesk and MadKudu.

Datachoice Solutions recently adopted applications including ProfitWell Metrics in 2022, Slack Connect in 2022 and Amazon CloudFront in 2022, highlighting its ongoing modernization strategy.

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Our research team continuously updates Datachoice Solutions’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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