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    • HOME
    • ABOUT US
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      • OVERVIEW
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    • BLOG
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  • HOME
  • ABOUT US
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    • OVERVIEW
    • DATA STRATEGY
    • DATA ANALYSIS & INSIGHTS
    • DATA ARCHITECTURE
    • BUSINESS INTELLIGENCE
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  • FinVision360
  • BLOG
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ENSURING DATA QUALITY FOR AI

Industry 4.0: Data Analytics in Production

the top data trends to watch in 2025

  AI is revolutionizing industries, driving innovation in analytics and personalization. But its success depends on data quality—trustworthy, high-performing AI systems require clean, reliable, and well-managed data. 

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the top data trends to watch in 2025

Industry 4.0: Data Analytics in Production

the top data trends to watch in 2025

 The data landscape is evolving fast, with businesses adopting new tech to stay competitive. To keep up, organizations must understand and embrace the trends reshaping how data is generated and used. 

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DEVELOPING A DATA-DRIVEN CULTURE

Industry 4.0: Data Analytics in Production

Industry 4.0: Data Analytics in Production

  Through our experience we've identified that building a data-driven culture takes more than tech—it needs a clear roadmap that aligns data with business goals, empowers teams, and ensures long-term success. 


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Industry 4.0: Data Analytics in Production

Industry 4.0: Data Analytics in Production

Industry 4.0: Data Analytics in Production

 Data analytics is central to Industry 4.0, enabling informed decisions and optimized processes. 

By harnessing data, companies can build flexible, responsive production systems for greater adaptability. 

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At the intersection of innovation and insight

About us

Our Portfolio

munich re
three uk
sameday
seko
carlsberg
millenium bcp
newsignature
sibs
reckitt
agilico
  • reckitt
  • agilico
  • munich re
  • three uk
  • sameday
  • seko
  • carlsberg
  • millenium bcp
  • newsignature
  • sibs
  • reckitt
  • agilico
  • munich re
  • three uk

Case Studies

Banking

telecommunications

telecommunications

Banking Case Study

 A leading banking institution faced challenges with fragmented data systems and inefficient data processing, impacting operational efficiency and decision-making. 


We implemented an end-to-end Business Intelligence solution, including a robust data warehouse, data loss prevention measures, and insightful reporting. This solution enhanced data transparency, accessibility and boosted employee productivity. 

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telecommunications

telecommunications

telecommunications

Telecommunications Case Study

 A major telecommunications company needed to migrate its Oracle and SAP systems to the Azure Cloud, while also optimizing performance and scalability. 


Our team utilized Scrum methodologies, ensuring transparency and collaboration among the team. The successful migration enhanced system performance, increased scalability, and ensured secure, accessible data.  

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logistics

logistics

logistics

Logistics case study

 A leading logistics company required a near real-time reporting system for fleet movements to enhance operational efficiency. 


Our team developed a interactive visualization dashboard in Power BI, integrating near real-time data to provide actionable insights. This solution improved data visibility, enabled timely decision-making, and optimized logistics operations. 

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Retail

logistics

logistics

sales and retail case study

 A prominent retail company faced challenges with financial and sales data transparency across multiple markets. 


Our team centralized data into a unified analytical environment and developed comprehensive reporting decks. This solution streamlined reporting processes, improved data accuracy, and provided clear insights for C-suite executives.

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The Data Vision Microsoft Partner
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