We work through five core pillars of data warehousing for the benefit of your business. These pillars are: Dimensional Modeling, Data Integration, Transformation, Data Governance, and Analytics. In using our team of data experts, we dig deeper into your data and find actionable insights that give you an advantage over your competition. Our Five Pillars of Data Warehousing Dimensional Modeling This is the data structure technique optimized for data storage in data warehousing. This is important so that there is faster retrieval of your data. The business intelligence (BI) systems we build for you will combine the right facts and dimensions to fulfill all your report needs. Data Integration We love technology and place a high priority on keeping up with the latest trends in data management. This is why we specialize in online pipeline services like Fivetran and Stitch Data to stream data into the warehouse. Then, we connect to all of your data sources (like Facebook, Google Ads, ZenDesk, Segment, Braze, Web-App logs, S3, APIs, etc) that are used by both your employees and customers. Transformation We use DBT (Data Building Tool) to transform your data into analytics. DBT is a development environment built for data analysts and engineers to transform data through select statements. We use DBT to write code that allows your reports to run dramatically faster! Your fears of data loss or being held captive by your data is a thought of the past with the help of Data Sleek. Data Governance Data Governance is defined as a set of principles and practices that ensure quality through the entire lifecycle of data. It is a practical and actionable framework to identify and meet information needs. Part of managing data are the system rules, processes, and procedures, to make sure there is consistency and accountability for information processes and their execution and usage. At Data Sleek we can help you implement a data governance solution to keep your data safe, clean, compliant, and to provide a single source of truth for your data warehouse. Analytics Dimensional modeling and analytics are closely tied together. Proper modeling fact and dimension tables are key to report efficiency, allowing high user concurrency while providing fast reports and flexibility. Fact and Dimension tables give the ability to generate aggregated tables which can summarize your data any way you want while providing fast report response for data visualization tools such as Tableau, Mode, Qlik ,or Looker.