Data Analytics And BI Solutions

Premium Business Intelligence and Analytics Service Provider

At Impressico, we turn your big data into insights mitigating guesswork, and helping you get actionable insights from your raw data, and make faster and better business decisions. Our clients rate us as one of the top business intelligence and data analytics consulting companies; we help mitigate BI implementation challenges and avoid common business intelligence pitfalls, through our business intelligence solutions and unlock hidden business opportunities and insights for our clients.

We have been providing business intelligence and data analytics services that help business organizations uncover the most useful data and achieve their business goals.

Besides this, we also deliver turnkey IT solutions that cover data integration, data management, data quality assurance, data visualization, data warehousing and more.

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Big Data, Analytics and Business Intelligence Capabilities

ETL Development

Impressico’s team has been designing end-to-end ETL systems that extract data from multiple source systems, enforce data quality and consistency standards, transform data so that disparate data can be used together, and finally deliver data in a format that allows storage in data warehouses or empower application developers to build applications and enable business users to make decisions.

Data Visualization

Visualization of data in place of tabular representation eases the absorption of information to draw insights for effective & faster decision making. We look at data visualization both as an art and a science. Apart from the usual use cases around descriptive analytics, we have worked on several IoT or big data related use cases, for predictive and prescriptive analytics. We have helped organizations make better business decisions that optimize customer experience.

Data Warehousing

To effectively support business intelligence applications for reporting of measures/facts by dimensions over time, the historical data needs to be properly maintained. In order to achieve the same, effective implementation of Data Warehousing comes into play.
Herein, data is extracted from varied transactional sources and transformed and loaded into the DWH. Popular methods like SCD Type 2 are used to maintain the historical and current data information. The generated fact and dimensions tables are then used for application development, analytics and reporting.

Data Governance and Data Quality

Making sure that the incoming data is fit for the intended use is a foremost requirement for any data related project. Ensuring data quality involves maintaining data consistency, that in turn requires data cleansing and the establishment of an enterprise data governance framework to enhance returns from investments in Business Intelligence. We have been working with our customers to deliver tools, processes and applications towards these multiple goals.

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