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The SATELLIT business transformation approach is based on the study of the entire enterprise by an enterprise architect and his business, information (data & application) and technical architect teams. They iteratively deliver high-level business concepts (goals, objectives, vision, …), middle-level information system concepts (conceptual data diagrams, processes, roles, actors, application portfolio…) and low-level technology concepts (logical data, infrastructure, deployment, …) prioritized by the business (architecture board) and structured within a centralized repository used as a knowledge hub (TOGAF framework).
The goal is to have a sufficiently accurate view of the business processes, applications and organization to focus on the transformation itself. |
This focus on change involves all the disciplines contributing to business transformations: Strategy Development bridges the gap between abstract high-level strategies and concrete operational decisions and provides feedback on the feasibility and impact on strategy choice. Capability-Based Planning is the pivot between strategy and realization. Enterprise Portfolio Management provides instruments for selecting areas for investment and change initiatives to realize the enterprise strategy. Programme Management manages the change initiatives from the perspective of business outcomes.
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Align your Business and your Technology Capability: The ongoing digital transformation process is the change associated with the application of digital technology in all aspects of human society. The transformation stage means that digital usage inherently enables new types of innovation and creativity in particular domains, rather than simply enhancing and supporting traditional methods.
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As cloud computing, artificial intelligence (IA) and machine learning, the internet of things (IoT), analytics, blockchain, robotics, augmented reality (AR) and virtual reality (VR) mature and converge, the possibilities of digital transformation are only limited by human imagination
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Big DataBig data is data sets that are so voluminous and complex that traditional data-processing application software is inadequate to deal with them.
Big data challenges include data capture, data storage, data analysis, searching, sharing, transferring, visualising, querying and updating, as well as information privacy and data sourcing. The focus is on 3 associated main concepts: volume, variety, velocity. Big data is divided into ‘data at rest’ and ‘data in motion’: Data at rest is a snapshot of the information that is collected and stored, ready to be analysed for decision-making. Data in motion is the process of analysing data on the fly without storing it. |
AnalyticsBuild on the organization’s data and analytics capabilities and assets that provide the foundation for uncovering the customer, product, and operational insights that enable the organization’s top priority business initiatives.
Embed analytic insights and evidence-based recommendations into cloud-native applications that enable customers, partners/channels, front-line employees and line-of-business managers to optimize processes and business decisions and learn from customer and market engagements. |
Cloud
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Machine & Deep LearningMachine learning, Deep learning, Reinforcement Learning, Image Processing & Analysis, Text & Natural Language Processing, AI Vision, Computer Vision, Cognitive Service & LUIS, Python, R, Bots, ...
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Internet of Things
Incorporate the organization’s digital footprint into the Internet of Things (e.g., sensors, beacons, mobile phones, wearables, connected devices) to enable real-time and near-real-time operational and product-performance optimisation that further enhances business decision-making and extends more value to customers/consumers.
Designed with your business in mind. Sometimes you have to build a customized solution from the ground up. At Satellit, our team uses an Agile process and years of experience to deliver unique solutions that work with diverse platforms, devices and technologies. We have a track record of success with most shapes and sizes of business. The results speak for themselves: custom applications that are adopted quickly by users and applauded by businesses.
As a Microsoft Gold Partner we are mastering the Microsoft Technology Stack: Azure, Devops, .NET, Business Intelligence, Artificial Intelligence, IoT, Big Data, .... |
Our teams
Enterprise & Solution ArchitectsProactively lead enterprise responses to disruptive capacity, identify and analyse the execution of change towards desired business vision and outcomes.
Goal, Objective, Requirement, Business Object, Business Process, Capabilities, TOGAF, Archimate, Business / Application / Data / Technology Paradigm. |
FullStack & Integration DevelopersCapable of performing tasks at any level of the technical stacks: front end, back end or integration/
Server, Network, Hosting Environment, Data Modelling, Business Logic, API / MVC / MVVM /..., User Interface, User Experience, ESB, .... |
Analysts & Data ScientistsUnderstand business change, define the impact, capture, analyse and document requirements, support the communication and delivery of requirements with stakeholders.
Statistical analysis, data mining, retrieving large amounts of data, identifying trends, making projections, solving business problems, optimising performance, gathering business intelligence. |