Big Data Profiling
DevPals creates a toolbox of business rules and analytics algorithms to detect, understand and potentially reveal big data inconsistencies. This knowledge is then used to improve existing data sets and systems as an essential part of the monitoring process and can eliminate costly errors that are common in customer databases.
We use Big Data analysis based on first- and third- party data
More than 40 000 data points on your customers, ranging from recent purchases to loans, to unleash insights on segments and achieve:
Customized look-alike profiles for top-performing traffic
Profiling-based custom funnels
Individualized messaging and product experience
When it comes to messaging, sales cannot connect the dots
DevPals stands at a data fork in the road and acknowledges the business need to enhance client interactions and business processes. We understand how big data profiling and analysis can aid in data quality control during the era of the digital transformation. We simplify the process of exploring and rebuilding complex big data lakes, leading to a truly digitally connected businesses.
What is our process for choosing a database?
When it comes to selecting a database, we take into account both Relational Database Management Systems (RDBMS) and NoSQL databases, in order to gain a comprehensive understanding of each ecosystem. We evaluate different systems based on factors such as data type, storage, structure, and intended use, with the goal of meeting the specific needs of our clients. Additionally, factors such as required consistency, latency conditions, and transaction speed, including real-time querying mechanisms, may also play a role in the decision-making process.