The success of data initiatives is determined by the domain, the organizational context, and the motivation to create a positive impact. The enablers of this impact are data capabilities and methods. Tobias Margarit, the Managing Director of diconium has set up the company with a focus on Growth Management and Digital Process Automation. It covers data analytics, data engineering, data architecture, data science & AI, data performance, and business design. Tobias believes that scaling data methods in exchangeable tech stacks will transform organizations from the inside out.

The Grit to Innovate

At diconium, Tobias has set up the core focus on data literacy and its multiplying effect. He believes that as the world is gradually moving into an automated world with self-driving cars, chatbots, and shopping, data literacy is going to be the key to differentiating the most successful organizations. He is confident that his initiative of setting a data competence and literacy unit within diconium will be able to serve the partners worldwide in achieving value creation. Diconium's DATA VALUE CHAIN consists of seven capability multipliers: User, Data, Analytics, IT, People, Process, and Performance. The strong link to Data literacy allows clients to scale their data maturity holistically. By activating data along with their growth and digital process funnel, clients are enabled to impact their business value. Thereby, the general principle is the universal method applied to each business process E2E independently, from erratic technology development.

In Tandem with the Industry

The value chain of each organization is determined by its ability to grow its business and automate its digital processes in parallel. Diconium's capability multipliers have a data productivity factor to add to them. The value principles of these capability multipliers are users, data, analytics, IT, people, process, and performances. The interactions with the users are measured and segmented in anonymous cohorts to establish a foundation of data-driven business steering. Each interaction is extracted by a data sensor and stored in an engineered structure aligned with criteria of efficiency and computability. By applying privacy, legal, and IT security matters, a reliable activation is made feasible.

The creation of tangible results requires a set of skills in advanced statistics, digital analytics, supervised/unsupervised training of machine learning or neural networks models, cognitive modeling, or simulations like Digital Twins. Cloud sourcing, horizontal scaling, edge computing, and embedded pseudonymization are supporting capabilities to streamline data workflows. Analytics and Data Science workbenches are exchangeable and adaptable to the critical availability of competencies. Data-driven decision making, the cultural adoption by data-driven training, upgrade of role profiles, anchoring of data specialists by business domains, and attraction of analytical talent are keys to transforming an organization.

The adoption and automation of business processes that are framed by a technical and organizational governance model, process mining, and cross-device encapsulated data services are generating business value measured by predefined KPI's. The technical requirements, people's management, and the process model are transformed by clear metrics to follow a plan stepwise. Agile management, continuous experimentation, and dynamic testing create personalized user experiences to drive performance consequently.

Leading Industry Performance

Diconium's clients are enabled by applying data in their daily work. It supports their overall team by increasing their data literacy and enriching their traditional job profiles for long-term success. Consequently, the company can grow its channel performance substantially, adapt its products by digital enrichment and personalized digital offerings based on segmented user cohorts. Incrementally, company processes are digitized and automated with methods of process mining. This leads to a better financial performance with increased revenues and cost savings. Based on these learnings, its clients can create long-term business value by activating data every day. Therefore, their organization and culture become resilient and adaptable to erratic developments by transforming their clients' value creation.

Leveraging Existing Capabilities

Within the Diconium network, the company has integrated the product "Diconium value chain" into the existing services. During the last 4 years, the competencies and capabilities of data services have been improved and expanded strategically. Now, the company can manage complex data initiatives with multiple data sensors like vehicles, smart city data, or production facilities. Consequently, they are contributing to innovative shifts like autonomous driving, the development of smart cities, and digital twins in autonomous production facilities.  The data culture that they have set up is attracting highly educated data experts. Today, diconium has become a key market player.

Challenges Affront

Traditional organizations are structured in functional domains like Controlling, Production, Sales, etc. Each domain creates business processes to streamline its collaboration within its team. This leads to the disadvantage of organizational islands. Hence communication becomes critical. If one needs to manage a business process across islands like client satisfaction, this disadvantage is a hurdle to achieve a common goal. In terms of data initiatives, it is very crucial to understand the current organizational context with its advantages and disadvantages. Diconium's data value chain and its multiplying effects can integrate into both extremes – vertically within an organization considering the seven factors or horizontally around business processes. The most successful data-driven organization can combine a horizontal and vertical approach. From an operational perspective, this can be organized by vertical specialized data teams and central data teams as a connector for the overall business process.

Noteworthy Collaborations

To drive productive data initiatives, client's business domain experts are very crucial. They define the relevant business challenge and with the requirement engineering, a detailed understanding and a draft of possible outcomes are predefined. Continuous learning of the latest developments together with Diconium's technology partnerships is critical. This has let the company improve its setup, portfolio within the equation, and its teamwork continuously to further improve its performance.