Data engineering
Complex challenges require a strategic perspective. We deliver data strategies and roadmaps for platforms, pipelines and modernization to support a data-driven culture
Visualization & Discovery
Narrate an interactive story around your financial data by determining levels of reporting so that all levels of business users can understand…
Information governance
Whether it’s data governance, master data management, or metadata governance structure - SkySparc helps build and manage efficient, secure data structures
Data science
Take advantage of AI and implement machine learning into your big data platforms. Our deep knowledge of advanced analytics is based on both the data science AND financial domains
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Data engineering
Connect business outcomes with technology
We bring strategic perspectives to complex challenges. Our team builds data strategies and roadmaps by identifying key business imperatives and mapping the required initiatives from data platforms.
Our business models and approaches help you support a data-driven culture that includes employees, suppliers, management and customers. By combining personnel and analytical approaches, your business can create a new fact-based, decision-making philosophy centered around data.
Big Data Platforms
Our professional data architects and engineers can help you accelerate your digitalization journey. We can offer certified Snowflake consultants, as well as being able to assist with other larger big data platforms.
Data Pipelines & Integration
To construct the best and most efficient data models that can be used for many years, a genuine understanding of your financial data and processes is required. Our experienced data engineers can either build customized data models or use our pre-existing data models adapted to your specific data needs.
Data Modernization and Quality
Our consultants build modern data ecosystems by mixing data engineering, cloud, data privacy and compliance skills with proprietary frameworks and maturity models.
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Visualization & Discovery
To obtain business value, business users need to access and discover data easily, as well as visualizing data properly so right decisions are made.
Visualization & Storytelling
We can assist you in mastering the visualization of financial data and the art of interactive storytelling.
Reporting & Dashboards
Our consultants can guide you through the selection and implementation processes of visualization tools, such as Tablau, Qlik or PowerBi, as well as reporting tools and dashboards.
Self-Service Discovery and integration
Businesses need to adapt to future challenges. It is crucial then that data is easily accessible through self-service discovery tools. We can help you with these choices, as well as integrating proprietary self-service into custom data tools.
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Information governance
Data Governance
In the wake of the rapid growth of data storage by organizations globally, it becomes more important than ever to adopt an efficient data governance policy. We help build efficient and secure data governance structures.
Master Data Management
Building a governance structure and processes around the key master data is essential for any data solution. SkySparc can help discover and resolve any master data issues with robust solutions that can consolidate your master data platforms into more manageable solutions.
Metadata Management
When designing data platforms, our consultants can guide and recommend the best approach to set early metadata governance structures that will be required for future regulatory legislations.
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Data science
Advanced Analytics
We combine deep knowledge of both the data science and financial domains, meaning we can provide solutions from traditional data warehousing and analytical abilities into more advanced analytics.
Machine Learning & AI
Banks, asset managers or corporate treasuries can take advantage of machine learning and AI to either utilize existing ML APIs from cloud vendors to achieve OCR scanning, or linguistic analysis from earning calls to make investment decisions. SkySparc can either provide simple guidelines or advise on how to implement machine learning or other AI into your big data platforms.
