QVARTZ Analytics is a knowledge hub of specialists within analytics and digital solutions. Our principles go hand in hand with those of QVARTZ – we strongly believe that the ability to tackle and solve complex problems must be combined with the ability to engage and mobilise client organisations in order to deliver lasting impact.
We always start by articulating the business problem at hand. By adding business acumen to analytics solution development, a clear focus on business impact is ensured before any sort of analytics is initiated.
Our mindset is a blend of agile development from the software discipline and a focus on high reliability from the hardware discipline, ensuring a reliable outcome for your business, which you can regenerate with high accuracy.
Tailored solutions & tools
We always tailor our team and efforts to your particular situation and challenges, never settling for a predefined set of solutions and tools or limiting ourselves to certain open source and proprietary platforms.
With this perspective, QVARTZ aims to highlight that predictive maintenance is about more than mere technology. It is not just about the data and analytics, but more about the choices you make at various stages to maximise the value it can create for your business. In order to succeed with predictive maintenance, you need to go through the four steps described below. Each step is in itself essential – and all steps are equally important.
To navigate in the era of digital transformation, we need to understand both the motions and the key drivers that enable us to respond to the digitisation of our society and our businesses. By looking at the digitisation pioneers among Scandinavian companies and studying their best practices, we can learn from their experience – and we can create a framework to better understand the initiatives and the progress we are making towards the new world.
Where we create value
How we create value
Proof of concept
Executing analytical sprints or proof of concepts to test the viability of a use case and the commercial potential of a given initiative.
Data strategy & management
Ensuring that the underlying master data and corresponding processes are set up in the right way through data and requirement assessment.
Analytics product development
Supporting and developing analytics products and ensuring integration of the products in your organisation, processes and way of working.
Supporting the selection of system vendors for the technical setup of the analytical unit, including gap to existing platforms and systems.
Team & organisation
Supporting the definition of the optimal analytics setup including capabilities, organisation and way of working (sprint, agile, etc.).
Supporting the move from initial analytical testing/sandboxing to full-scale business solutions integrated into daily operations.
More than 150 people from the Danish business intelligence and analytics environment met for a full day of inspirational sessions and business opportunity discussions at the Business Analytics event in Copenhagen this week. The QVARTZ Analytics team was a proud partner of the event, and thrilled to participate in the many interesting discussions on how to make efficient use of unstructured data and how to ensure profitable analytics, among many other topics. Thank you all for an inspirational and fruitful day.
QVARTZ Analytics is a proud partner of the Business Analytics event in Copenhagen on October 4. Participants from Arla Foods, Maersk Line, Danske Bank, Lego and many others will discuss how to make efficient use of unstructured data and how to ensure profitable analytics to support your business, among other things.
"Digitalisation is the number one theme at the moment. It’s what pushes companies forward, and it’s at the top of everyone's mind", says Kristoffer Geer, MSc student in Psychology at Aarhus University. He was among the 100 curious students who decided to spend a...
Predictive maintenance has been around for 20 years, so it is by no means a new concept. However, factors such as lowered maintenance costs with reduced downtime and the rapid expansion of the Internet of Things (IoT) are expected to greatly increase the demand for predictive maintenance solutions and services. Adding to this the immense development that has taken place within technology during the last couple of years, predictive maintenance is more relevant today than ever before, and consequently, more and more companies are investing in it.
With the world growing consistently smaller, but also more complex, the demand for digital & analytical solutions is increasing rapidly. We are immensely excited and proud to welcome two analytical masterminds, Frances Luk and Kash Sirinanda, to QVARTZ Analytics. Kash is a consultant, mathematician, engineer and serial entrepreneur. With a doctorate in optimisation and a career with McKinsey, he brings solid experience within digital solutions & analytics. Frances has a background in data warehouse and data analytics from Teradata and Danske Bank, bringing strong analytics skills and wide industrial knowledge. A huge welcome to both of you!
“86% of CEOs believe that technology will transform their business more than any other global trend. In order for companies to succeed on the digital journey, they need to have the right tools and focus”. Partner Jens Friis Hjortegaard from QVARTZ’ digitalisation team spoke at the Executive Leadership Conference in Copenhagen yesterday, explaining how QVARTZ’ partnership with Microsoft helps companies succeed on their digital journey. Through the partnership, we help companies articulate their digital strategies and ambitions, making their digital transformation journey tangible – and ultimately empowering them to succeed. That’s one powerful cocktail.
Meet the team
Accomplisher, data geek and engineer. 14+ years of experience in driving complex analytical projects across industries – from among others Teradata and Danske Bank.
Builder, economist and application developer. Brings business acumen from management consulting and an ability to build complex data and web application models.
Explorer and software engineer. Brings knowledge of data modelling, AI and algorithm development.
Jens Friis Hjortegaard
Leader, economist and business developer. Brings 10+ years of experience from management consulting, having worked extensively with digital transformations and analytics across industries and practice areas.
Johan Emil Rasmussen
Thinker, economist and entrepreneur. Combines business acumen from management consulting and a flair for building complex algorithms for the financial services industry.
Optimiser, mathematician and engineer. Holds a doctorate in optimisation and a track record in analytics and digitalisation from McKinsey Digital – applied in heavy industries, oil & gas and mining.
Explorer, mathematician and statistician. Vast knowledge of data modelling, advanced statistics and algorithm development.