Data and Analytics: Shaping today’s financial world

Structured, unstructured data is extracted and integrated from multiple internal systems of record as well as external sources, for accurately mapping with the workflows. Sources may include on-prem historical databases, streaming data from IoT devices, SaaS apps, APIs, various media and documents, and enterprise systems like ERP and CRM.

Data is transported from a range of sources (ERP, CRM, data lakes, etc), through the data pipelines for further processing and analysis. Common ingestion methods include one-time or scheduled batch, real-time or micro-batch streaming, and incremental data transfer. The variety of data types, contexts, and formats presents complex challenges in the ingestion phase. Xoriant can provide knowledgeable, highly skilled data engineering resources that can manage the complexity and diversity, so your end products are organized, contextualized data sets in standardized, search-friendly formats.

Our Unified Data Ingestion Framework helps customers move data from relational and unstructured data sources to Big Data platforms (Hadoop and NoSQL), providing a proven, established pathway to optimize data migration, storage, structure, security, and performance analytics for both on-prem databases and cloud data stores.

Xoriant Any to Any Data Ingestion Framework

The staging layer lies between the source and the end destination which can be a data mart or repository. The raw data is stored in the staging layer where it can be altered, replicated, linked, and aggregated if required before the data sets are transferred for integration. Xoriant has deep expertise with the staging of data, both on-premise and on-cloud systems with appropriate tools and accelerators to improve the efficiency of the workflows. Staging zones can become complex with data influx from various sources, and hence we not only help you figure out how to use complicated staging zones but also do it with absolute efficiency.

Data is brought into a data lake, transformed, and enriched by removing duplicates, data silos, securing and aggregating data in staging. A staging area, or landing zone, is an intermediate storage area within the process used for processing raw data so that column names, types, etc. are rule-based and consistent. As source data is constantly changing, this area retains the source data lineage so discrepancies can be traced to a source and addressed quickly within the pipeline. Our frameworks support automating and managing data cleansing, EDM data attributes and data governance for improving data quality. Xoriant provides advanced expertise with staging methods, tools, and technologies, with deep experience preparing data for AI/ML consumption in the staging layer itself. The transformed data is then sent to the destination system which could be a dataset or a data warehouse.

Transformed data is transported to a centralized data warehouse which is the core of the data preparation stage of the BI lifecycle. Accurate data warehousing is a critical component in data analysis and reporting. Financial firms deal with heavy operational data frequently; hence it becomes crucial to not miss any essential information that could be relevant for analytics. We have deep expertise in integrating your datasets into the warehouse and processing them for actionable insights with the ability to reduce data processing cycle times, especially for large data sets. We can help you with scalable solutions while migrating data pipelines from an existing or traditional warehouse to a big data warehouse.

An enterprise’s ability to compete hinges on the quality and timeliness of its business insights and how well it translates those insights into effective action. For this, enterprise teams need to contextualize their organization-wide data across key business systems, devices, people, and processes with customized, operation-specific data visualization. To take the appropriate actions, the data consumer must be able to access and manipulate data in easy-to-read and understand formats. We develop and leverage performance-proven accelerators and frameworks that empower IT, Ops and LOB teams to make fact-based decisions and take strategic actions by unlocking valuable business insights in the form of intuitive dashboards and attractive, customizable graphs and charts.