Irrespective of the size of the organization, a bulk of their raw data is spread across multiple unstructured data sources and operational systems. With massive amount of data, organizations are challenged to bring all of it together and optimise it for reporting and analytics. We help organisations address this challenge by creating ETL processes that load data from source systems into the data warehouse after cleaning it. The cleaned data is used to measure KPIs and other metrics to derive insights.
Building a data pipeline isn’t an easy feat, but the payoff of owning your own data and being able to analyse it for business outcomes is huge. We have significant experience in developing data pipelines, either from scratch or using the services provided by major cloud platform vendors. Building a Data Lake is easy as it’s simply about centralisation of data, irrespective of its sources in its raw formats. However, having the knowledge and experiences of extracting meaningful insights out of all that data is not an easy task. We can set up your Data Lake and get you going on your Big Data journey.
Analysing data in real-time can lead to significant actionable insights across domains. It allows businesses to act with certainty and makes complex decision making easier. Real-time analytics helps firms by managing routine operations in IT systems and network monitoring, manufacturing, and processing financial transactions like authenticating transactions, validation, and detecting fraudulent transactions in real-time. We can help you derive actionable insights from your data in real-time. You can also seize new opportunities by drawing insights from customer behaviour and manage capacity/stock accordingly and manage customer relationship by maximising satisfaction and business results during each interaction with the customer.
Data Crunching is a method in information science which makes the preparation of automated processing of large amounts of data and information (Big Data) possible. Data Crunching consists of preparing and modelling a system or application that is used: The data is processed, sorted and structured to run algorithms and program sequences on it. We can crunch your data and help take advantage of data you have.