Data Science & Business intelligence can help you take decisions, grow a business or optimize your processes beyond intuition and experience. However, you can get lost in all this information. You need a guide in this jungle. A light in the dark.
Why choose Dark Light? We work with the best experts in the market within data science, data engineering, data analytics & business intelligence. We look at the business goals and strategy, assess the current state and look for a future state together. Based on these conversations, we will provide you with the right consultant to implement the roadmap.
Our Data Analysts gather, organize, and interpret statistical data using data analysis tools to produce meaningful results. The client then uses these interpretations to make important business decisions.
Skillset: SQL, NO SQL, Data cleaning, Tableau, PowerBI, Excel, Python
Our data engineers prepare and manage big data that is then analyzed by data analysts and scientists. They are responsible for designing, building, integrating, and maintaining data from several sources
Skillset: Python, GCP, AWS, Azure, Cloudera, SQL Server, ETL, Spark, Kafka
Our data scientists analyze and interpret raw data into business solutions using machine learning and algorithms. Data science looks at the probability of future events and conditions. Predictive analysis uses historical data to forecast business trends, customer behavior, and product success. It seeks to answer questions about what will happen in the future. Prescriptive analysis seeks to find a solution to a specific business problem.
Skillset: Python, R, Machine Learning, SQL, noSQL, NLP, Hadoop, SAS, Spark
Our business intelligence experts use descriptive analysis to present historical data to business units in a way that makes it easy for them to visualize and understand. Business Intelligence is often used to generate reports that clearly and accurately communicate the current state of the business
Skillset: ETL, SQL, PowerBI, Tableau, Qlikview, SQL Server, Kimball, Datawarehouse
Identifying business goals & objectives aligned to data
Understanding current maturity & environment
Future state capabilities
Matching the right skillset
Change management
Follow-up Align with business goals