Focusses on capturing & integrating only structured data from various sources for analytical reporting, ad-hoc/structured queries & decision making. It cannot handle unstructured, raw or complex data.
A centralized repository that stores structured or unstructured data the way it is, without the structuring of data & supports processes like dashboard/visualizations, real-time analytics & ML for informed decisions.
Data are retrieved from operational systems & pre-processed for analysis with EXTRACTION of data from databases, TRANSFORMATION that includes cleaning, filtering, validating rules & LOADING of data into a data warehouse.
Manipulation & processing of data into usable form using a predefined sequence of operations done either manually or automatically to get meaningful insights enabling users to choose output that suits the requirement.
Collaboration of technical and business processes to combine data from disparate sources and provide a unified view of data of the company's data assets for retrieval of meaningful & valuable information.
As the complexity of data arises, new and advanced capabilities are required to fully harness the power of Big Data. Let's focus on attaining actionable insights and realizing the greatest business value with our successful tools.
Information to Analytics Managed Services(I2AMS) is a one stop shop to provide end-to-end solutions from data collection to deriving patterns and insights. Proven track-records in helping companies achieve their goal of optimizing their data collection,data processing pipeline,data usage and visualization. Enormous success in helping companies reduce cost and time through automation, optimization, accurate insights and decision making. with reduced cost and expeditious timelines.
We have been trusted by many startups to big firms for multiple small and large scale projects. We take pride in providing solutions with cutting edge tools and technologies with a future vision and supported by high quality engineers.
Reach out to us for review and consultation on building an automated data processing framework or optimize/upgrade existing data architecture.
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