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About Datagamz

Datagamz is a data analytics platform from Datagamz that provides insights for business decision-making. It includes data visualization, predictive analytics, and real-time reporting so users can make informed choices based on accurate information. Datagamz supports integration with various data sources, enabling users to compile data from different platforms for comprehensive analysis. Additionally, it offers customizable dashboards that allow users to track key performance indicators relevant to their business needs. Key capabilities: data visualization predictive analytics real-time reporting integration with data sources customizable dashboards Best for: business analysts and decision-makers that need to analyze data trends and derive actionable insights.

Datagamz Details

Vendor
Datagamz
Year Launched
2014
Location
Studio 4, Level 1, 281 Brunswick St, Fitzroy North, VIC, Australia, Victoria
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish
Users
Managers, HR professionals, Trainers, Employees, Game Designers, Data Analysts
Industries Served
Healthcare, Education, Retail, Technology, Hospitality
Tags
Gamification

Datagamz's In-App Market Place

Does Datagamz have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud ($), Cad ($), Chf (Fr), Cny (¥), Sek (kr), Nzd ($), Rub (₽), Hkd ($), Nok (kr), Inr (₹), Brl (R$), Zar (R), Mxn ($)

Pros & Cons

  • The platform provides a unique, integrated view of both customer and employee experiences.
  • Patented Generative AI refines conversation quality and delivers superior analytical insights.
  • It connects diverse systems like CRMs and bots to analyze the complete customer ecosystem.
  • Interaction mining uncovers hidden automation and optimization opportunities missed by KPIs.
  • The use of gamification actively supercharges employee motivation and engagement.
  • The platform's success heavily relies on seamless integration with all existing customer systems.
  • The proprietary nature and lack of external evidence make verifying the patented AI difficult.
  • Implementing both CX and EX strategies simultaneously might prove complex for some teams.
  • Full adoption requires enterprises to shift focus from simple KPI reporting to deep interaction mining.

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