The Data Journey

There is a lot of value in data and most companies have not even begun to realize the full potential of their data. And, it is a proven fact that companies that take their data analytics seriously outperform their competitors.

We live and breathe data and analytics, and help our customers to unlock insights and create value from various data sources. We also extend data insight with automated actions so that our customers are able to reduce manual interactions and can instead rely on automated and semi-automated processes.

Analytics is complex though and there is so much more to consider than implementing traditional Business Intelligence. A data lake is a centralized repository that allows you to store all your structured and unstructured data. One of the main differences from a data warehouse is that you can store your data as-is, without having to first structure the data. This makes it attractive to include data from new sources such as documents, spreadsheets, social media, IoT devices and click-stream data, to name a few examples.

Data Analytics  

Your digital transformation journey can be kickstarted with a strong foundation in a data platform using new technologies set up on a data lake.

We build product-specific data platforms which accelerate unlocking potential.

A data lake is a centralized secure repository that allows you to store, govern, discover, and share all your structured and unstructured data at any scale. Data lakes don’t require a pre-defined schema, so you can process raw data without having to know what insights you might want to explore in the future.

We will understand your existing applications, data strategy, data warehouses, dashboards etc. to identify gaps and new applications and processes to enhance data capture.

Gain the ability to ingest any data sources quickly across hybrid cloud environments.

An ML-Powered BI Service platform with fully fledged out of box support for visualizations and predictive analytics.

Gain deeper insights for e.g., what-if analyses, anomaly detection, ML-based forecasting, churn prediction etc. and improve overall efficiency multifold.

A Data Science platform with fully fledged development tools and backed by industry leading out of box support for ML frameworks.

Build AI models or deploy readily available models at scale with consistent processes. Conduct continuous training and feedback to achieve  >90% accuracy.

So What?

Real-Time Data

Access to real-time data with the highest degree of quality and accuracy

Additional Insight

KPIs for the entire organization to understand how the business is performing

Act Accordingly

Ability for executive management to take fast data-driven decisions

Data Governance  

Strong data governance is an integral part of any data platform to consistently enrich and curate data sources for single source of truth. Additionally, a data governance framework with data engineering pipelines can easily be applied to further curate high quality data needed for Modern Analytics/ML.


Activities We Do

Activities We Do

Data Discovery
  • Metadata Management
  • Data Assets Searchability
  • Data Lineage

Data Quality

  • Data Cleansing Process
  • Data Quality Rules
  • Data Incident and Root Cause Analysis Process

Data Security

  • Network and Infrastructure Protection
  • Data Protection and Data Loss Prevention
  • Security and Access Framework
  • GDPR Compliance

Data Classification

  • Sensitive Data Identification
  • Master Data Management
  • Authoritative System Synchronization
  • SCD Management

Solutions That Bring Value 

Retail Dashboard

A custom dashboard providing insight into all of your favorite key metrics

Consolidated Global View

Single consolidated view across global operations

What-if Analyses

Ability to conduct what-if analysis via dashboard itself

Anomaly Detection

Ability to see anomalies and missing targets

Predictive Forecasting

Improved forecasting by leveraging the amazon forecasting experience

Natural Language

Quickly get answers to business questions asked in natural language

Foundation for ML Platform

Foundation for Scalable ML platform built on high-quality data

Data Lake

Single source of truth of entire enterprise warehousing data

Our Data Partnership  

According to McKinsey, the number of digital customer interactions has tripled in the last few years, largely due to the pandemic. This has set a requirement for organizations to have a data foundation that enables a seamless customer experience across both physical and digital channels.

QloudX has built customized and expansive Customer Data Platforms (CDP) for small- and medium-sized customers in the past, with the goal of achieving a data-driven and modern customer experience. A Customer Data Platform (CDP) combines data from multiple sources to create a single platform containing data on all touchpoints and interactions with your product or service. This can then be used for additional insight and to create personalized marketing campaigns.

QloudX has partnered with Treasure Data to enable exceptional experiences with security and privacy-compliance in mind. Founded in 2011, Treasure Data is the leading enterprise CDP and a SoftBank backed company that has received over $250 Million in funding. The purpose of our partnership is to drive additional value from the TD platform through our local or industry expertise. QloudX and Treasure Data collaborate to jointly expand our data capabilities and ensure successful implementation and delivery for our clients.

Learn more about Treasure Data.

Data Case Studies  

Read more about how we have helped our customers move forward on their data journey

How To Get Started  

Niklas Palmqvist – Cofounder, Partner & CEO

To start your Digital Transformation Journey, contact Niklas at or +45 36 99 21 70.

Niklas Palmqvist is Co-Founder of QloudX and a Digital Transformation expert. In his current role, and in his previous role as a global CIO, spearheaded a multitude of digital transformation initiatives for businesses around the globe and across industries. He has worked as an evangelist to promote and orchestrate DevOps culture and Data solutions across organizations. For more details, check his full bio.

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