Artificial Intelligence
and
Machine Learning
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Having a clear data strategy is absolutely vital when you consider the sheer volume of data that is available these days. Collecting data without considering what you want to do with it is useless. A good data strategy is not about what data is readily or potentially available – it is about your business objectives, and how and what data can help achieve your targets. It is also important to remember that no one type of data is inherently better than any other type. Using data strategically is about finding the best data for your company, and that may vary from business to business. With so much data available these days, the trick is to focus on finding the exact, specific pieces of data that will help you make the most optimum decisions. Data Pilot will help you in understanding your business problems and devising a long term data strategy accordingly. By doing so, we will not collect just any data, but we will collect the RIGHT data, resulting in improved and speedy decision making for your business.
Data Visualization is the art of making sense of data using visual elements like charts, graphs, and maps. We have data visualization experts who build meaningful insights from your data to help you make better decisions through data. Our data storytelling skills aid in building effective dashboards for businesses. When building dashboards, we build visuals to reduce cognitive load, cognitive friction and increase data-pixel ratio. Moreover, it is VERY important to pick the right chart for each KPI to communicate insights effectively. We have expertise in Tableau, Power BI, Google Data Studio, Metabase, Apache Superset, Holistics etc.
It is important to understand that reporting should not be done on top of your transactional database. In the start, basic reports can be built on your main database but to enable analytics across the organization, it’s important to have a Data Warehouse. We have expertise in converting your transactional and operational data stores (OLTP) to a Data Warehouse (OLAP) in order to build dashboards for data driven decision making across your organization. Based on your reporting requirements, we design an optimized data warehouse model using star or snowflake schema to fulfill your reporting needs which serve all departments across the organization. On top of the data warehouse, we build a presentation layer for business intelligence which entails building dashboards to aid decision making for business users. For data warehousing, we have expertise in HP Vertica, Microsoft SQL Server, Oracle, Snowflake, MySQL, PostgreSQL, Google BigQuery, AWS Redshift. For enterprise BI, we have expertise in OBIEE, IBM Cognos and Pentaho.
A data warehousing architecture is a centralized repository that defines the data communication presentation and processing. Although every data warehouse is different, they are distinguished by standardized components.
Data Warehouse is essential to provide data to Business Intelligence (BI) tools and generate reports. It stores data using ETL (Extract Load Transform) from various sources like databases, cloud storage, and APIs among others.