LULU | WHAT WE DO
LULU offers expertise in designing, building, and maintaining complex data-based systems. Data Engineers serve as the plumber to provision clean, reliable data across the business - building pipelines to move the data, cleanse the data via transformation, and automate services to ensure proper supply for data consumption.
LULU offers advanced analytics and artificial intelligence expertise to turn volumes of data into actionable business insights. Data Scientists are the alchemists of the 21st century; those unicorns that can turn raw data into purified insights. Part mathematician, part computer scientist, part trend-spotter, Data Scientists straddle both the business and IT worlds.
LULU offers the necessary guidance to ensure big data projects produce acceptable results on time and on budget. Solution Architects navigate the increasing complexity of systems and platforms necessary to support new business ecosystems - taking architectural, quality, and feasibility responsibility for solutions to ensure business stakeholder alignment.
MEET | LULU
With the explosion of big data and new data sources, a challenge faced by today's organization is how to align their decision-making and organizational processes to drive business value. LULU was founded to help businesses bridge this strategy gap to adopt emerging technologies as a core component of their information management and analytics infrastructure. LULU prides itself on offering expertise along the full data life cycle - not only guiding businesses through the creation, synthesis, and storage of information, but also identifying opportunities to leverage advanced analytics and artificial intelligence to answer the right questions.
Artificial Intelligence and Machine Learning should not be a Black Box application to management and business stakeholders. We strive to achieve general acceptance by making the complex simple. Investing time with our clients to develop, deploy, and realize analytical solutions that drive business value. Moving past descriptive analytics, into predictive, and ultimately prescriptive solutions.
LULU architects cost-effective, scalable analytics solutions leveraging cloud services (e.g., AWS, Azure), a variety of data platforms (e.g., MS SQL Server, Hadoop, Spark, Hive, S3), languages (e.g., SQL, Python, R, SAS, Scala, PySpark) and visualization software (e.g., Tableau, Power BI). We provide analytics strategies to drive quantitative and qualitative business insights through the cross-hair between Artificial Intelligence techniques (e.g., Unsupervised and Supervised Machine Learning, Deep Learning, Reinforcement Learning) and industry-specific domain knowledge.