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.
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.
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.
A custom dashboard providing insight into all of your favorite key metrics
Single consolidated view across global operations
Ability to conduct what-if analysis via dashboard itself
Ability to see anomalies and missing targets
Improved forecasting by leveraging the amazon forecasting experience
Quickly get answers to business questions asked in natural language
Foundation for Scalable ML platform built on high-quality data
Single source of truth of entire enterprise warehousing data
Read more about how we have helped our customers move forward on their data journey
To start your Digital Transformation Journey, contact Niklas at firstname.lastname@example.org 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.