Data
Engineering
Effective data programs rely on robust data engineering to handle fragmented data sources efficiently. Our experienced team handles hundreds of data deliveries weekly from leading data agencies, ensuring seamless ingestion and management.
Business need
Organizations today are increasingly data-driven. Streamlined data management processes enable this transformation and fuel innovation. Key areas of focus include:
Standardizing data feeds
Feeding AI and Next-Gen tools
Data products cost optimization
Connecting data to tech opportunities
Our services
We specialize in centralizing syndicated data at scale. We standardize diverse inputs and implement robust data governance to safeguard your data assets. We master top-tier technology like Microsoft Azure, Data Factory, Databricks, and Storage Accounts to deliver services that meet your business needs.
Foundations for scalable data management
Transforming raw data into actionable insights requires a solid foundation. Leveraging years of industry expertise, we focus on de-fragmenting data assets to streamline processes via a series of methodical steps:
Collection
Collecting data from diverse sources into a central location.
Preparation
Assessing third party agreements, goals, and objectives.
Transformation
Transforming diverse data into consistent data structures.
Normalization
Mapping characteristics from different datasets to common columns.
Ingestion
Merging data into a single data pipeline.
The importance of compliance
Ensuring compliance in data usage is paramount in today’s rapidly evolving landscape. With AI reshaping data utilization, concerns around legal boundaries arise, particularly with third-party data licenses.
Redslim operates in full compliance with legislation and rules from data agencies in the market. Our services encompass data management from over 50 agencies, including major leaders in market tracking.
Redslim in numbers
50+
Data Agencies
30+
Client organizations
100+
Categories
55+
Countries
5K+
Decision makers