London, EC2A 2EZ,
United Kingdom
Datachoice Solutions Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Datachoice Solutions and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1 Datachoice Solutions employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Datachoice Solutions has purchased the following applications: ProfitWell Metrics for Subscription and Recurring Billing in 2022, Klaus Workforce Analytics for Workforce Analytics in 2020, MadKudu for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Datachoice Solutions is running and its propensity to invest more and deepen its relationship with ProfitWell , Recurly , Zendesk or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Datachoice Solutions revenues, which have grown to $1.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Datachoice Solutions intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury 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 |
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Subscription and Recurring Billing | ERP Financial Management |
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2012 | 2012 |
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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.
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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.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2011 | 2011 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Survey and Questionnaire | Collaboration |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Support | CRM |
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2013 | 2013 |
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Customer Support | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Incident Management | ITSM |
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2015 | 2015 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2012 | 2012 |
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Transactional Email | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2010 | 2010 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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