Digital strategy by Zermatt Data

Evolve with best possible practices.

Compete in a fast-paced technology development environment – unlock the true potential of your technological possibilities.

Digital strategy is a way to take advantage of modern technologies in the scope of an organization’s business model. It is set of long-term strategic goals and tactical plans which will allow the company to thrive in technology-driven reality. Simply put – digital strategy is a business strategy, but the one that takes into account a tremendous impact made by modern technologies and the optimal way they should be applied. Digital strategy is the concept of looking for competitive advantages in a new reality – an environment driven by massive amounts of data, the Internet of things, augmented reality, and many more concepts that influence peoples’ everyday lives. 

We provide clients with the most up-to-date market research tailored for the needs and insights on what drives value in the digital economy. With an immersive approach and extensive experience along with a thorough understanding of how your business works we help identify the optimal portfolio of initiatives.

How does Digital Strategy work in Zermatt Data?

We cooperate with our clients to understand their needs and build a digital roadmap to transform their business identifying key questions and answering them:

  • The focus should be set on digitising current business models, or investing in new digital businesses?
  • What areas of the business are critical for success?
  • Where are my digital priorities? How do I measure them?
  • Identifying the biggest impact makers and creating the advantage to make the greater risk worthwhile.
  • How do I really compete in the ocean of vivid digital competitors?

Digital Audit – Make the most out of your resources and evolve to the next level.

Let as take you through digital audit – a comprehensive, customized data audit designed to help your organization leverage digital to effectively set up and meet strategic goals.

True digital audit analyses go far beyond checking up your marketing spend allocation. They are detailed and extremely personalized to your organization’s industry, history, and goals. They include a thorough review of your digital portfolio, with deeper insights that identify what has (and has not) worked effectively in the previous years.

The analyses, recommendations, and strategies outlined in your digital audit report can vary. As comprehensive as they are, they can be divided by priority according to the needs of your business.

Data Strategy – Efficiently carry out the inevitable change with professionals and harness the chaos.

All organisations engage with, operate on, and leverage data every day across a variety of business functions. Those organisations that take a holistic approach to adopting an enterprise-grade data strategy are able to optimize their technology investments and lower their costs.

Organisations that want a smooth transition to become data driven need a plan for advancing their digital transformation journey. Creating a Data Strategy is the first step toward defining and enabling such a plan.

A data strategy is a common reference of methods, services, architectures, usage patterns and procedures for acquiring, integrating, storing, securing, managing, monitoring, analyzing, consuming and operationalizing data. It is, in effect, a checklist for developing a roadmap toward the digital transformation journey that companies are actively pursuing as part of their modernization efforts. This includes clarifying the target vision and practical guidance for achieving that vision, with clearly articulated success criteria and key performance indicators that can be used to evaluate and rationalize all subsequent data initiatives

In Zermatt Data we focus on:

  • Unifying IT and Business perspectives
  • Aligning the Enterprise on vision and guidance on leveraging data as an asset
  • Defining the key metrics and criteria for data development
  • Optimising the expenditures of development on all the aspects (technological & human)

Architecture & Infrastructure

Technology has evolved from a business enabler to the critical driver of company’s existence. Organisations that understand this fundamental shift must learn to navigate such challenges as building capabilities, modernising platforms, creating a software engineering culture, leveraging data, and analytics to improve operations and products. 

We help deliver end-to-end tech transformations for our clients by focusing on IT infrastructure, architecture, data, operations, and efficient technological strategy.

Process Automation

Digital transformation is here to tame chaos. Business process automation (BPA) automates workflows to improve an organization’s efficiency. BPA does not focus on a single department, but rather on the entire organization by implementing software systems that integrate all currently existing applications. Rather than focusing on individual tasks, BPA focuses on the overall end-to-end process. 

Along with RPA – Robotic process automation contains software robots (bots) that imitate human tasks. These bots complete rules-based tasks by recording the process workflow humans perform. They can log into systems, navigate the page and input and extract data, mimicking the interactions humans have with computer systems. 

Machine learning makes it possible to automate mundane calculations with algorithms that identify patterns in structured data, such as daily performance data, through “supervised” and “unsupervised” learning. Supervised algorithms learn from structured data sets of inputs and outputs before beginning to make predictions based on new inputs on their own. Unsupervised algorithms observe structured data and begin to provide insights on recognized patterns.

Natural language processing (NLP), is an area of research in the AI/ML that seeks to find efficient ways of using computers to translate languages, convert voice to text and back again, and create human-like conversational agents to help customers deal with issues, questions and concerns. This field has been transformed by the shift from statistical machine learning methods to the use of neural networks and deep learning, making it possible to build automated systems that can interact with customers or employees more naturally than ever before.


Case studies

How Digital Culture moved technological implementations to the next level

Digital Culture created and applied in the company improved employees performance by up to 20% and increased general satisfaction.

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