Power BI
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Key components of the Power BI ecosystem comprises:
- Power BI Desktop
- The Windows-desktop-based application for PCs and desktops, primarily for designing and publishing reports to the Service.
- Power BI Service
- The SaaS-based (software as a service) online service. This was formerly known as Power BI for Office 365, now referred to as PowerBI.com, or simply Power BI.
- Power BI Mobile Apps
- The Power BI Mobile apps for Android and iOS devices, as well as for Windows phones and tablets.
- Power BI Gateway
- Gateways used to sync external data in and out of Power BI and are required for automated refreshes. In Enterprise mode, can also be used by Flows and PowerApps in Office 365.
- Power BI Embedded
- Power BI REST API can be used to build dashboards and reports into the custom applications that serves Power BI users, as well as non-Power BI users.
- Power BI Report Server
- An On-Premises Power BI Reporting solution for companies that won’t or can’t store data in the cloud-based Power BI Service.
- Power BI Visuals Marketplace
- A marketplace of custom visuals and R-powered visuals.
Tableau
Tableau products query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations. The products can also extract, store, and retrieve data from an in-memory data engine.
Qlik
Qlik Sense is a complete data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high-performance cloud platform, you can empower everyone in your organization to make better decisions daily, creating a truly data-driven enterprise.
ETL
In computing, extract, transform, load (ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source(s) or in a different context than the source(s). The ETL process became a popular concept in the 1970s and is often used in data warehousing.
Data extraction involves extracting data from homogeneous or heterogeneous sources; data transformation processes data by data cleansing and transforming them into a proper storage format/structure for the purposes of querying and analysis; finally, data loading describes the insertion of data into the final target database such as an operational data store, a data mart, data lake or a data warehouse.
A properly designed ETL system extracts data from the source systems, enforces data quality and consistency standards, conforms data so that separate sources can be used together, and finally delivers data in a presentation-ready format so that application developers can build applications and end users can make decisions.
Range of industries
Financial Services
Health and Public Sector
Business Services
Travel and Aviation
Consumer Products
Marine Transport &
Logistics
Strategic & tactical Dashboards
Our renowned Dashboards and reports will allow you to:
- Work fewer hours — and make more money
- Attract and retain quality, high-paying customers
- Manage your time so you’ll get more done in less time
- Hone sharp leadership skills to manage your team
- Cut expenses without sacrificing quality
- Automate your business, so you can leave for days, weeks, or even months at a time
Strategy development
You can transform your business to a revenue-producing asset that lets you work as much or as little as you want.