EMERGING TECHNOLOGIESData Strategy and Governance
Organizations across industries are increasingly modernizing their data platforms to maximize the value of data, reduce costs, improve efficiency, and drive innovation.
However, merger and acquisitions have resulted in diverse systems, making it challenging to establish data lineage and identify a single source of truth. The tremendous growth in data generation has made it difficult for organizations to manage data, implement data governance, democratize data, and derive impactful insights. Organizations must ensure regulatory compliance related to data privacy while addressing these challenges.
- Diverse systems resulting from merger and acquisitions make it challenging to establish data lineage and identify a single source of truth.
- Difficulty managing data, democratizing it, implementing data governance, and deriving impactful insights due to the tremendous growth in data generation.
- Need for organizations to ensure regulatory compliance related to data privacy while addressing data-related challenges.
With expertise across industries and leading technologies across all facets of data, analytics, and insights, FutureSight tailors its approach to achieve the organization’s desired outcomes. The following approach is used:
Data Strategy Definition: Creating an architecture reference to address current and future needs, developing an executable roadmap with clear milestones, and instituting governance structures. These help deliver reliable data to the business.
Data Platform Modernization on the Cloud: Creating scalable and extensible data warehouses and data lakes, democratizing data to embed insights into business processes, and monetizing information resources for superior business outcomes.
Data Governance: Enabling consistent and accurate metrics generation across functions, improving transparency through data lineage and catalog, and delivering reliable data to the business.
Data Consumption: Enabling applications to consume data-driven insights into Business processes, leveraging cloud-native services for data engineering, data wrangling, ML model training and deployment at scale, utilizing AI services for faster insights generation, building controls and explainability in AI/ML, and removing bias.
Transform Enterprise Data to
Derive Value and Actionable Insights
For an enterprise, data holds the key to unlock newer possibilities. Accumulation of data is a continuous cycle and organizations require the right technology partners to help them process their data. The goal is to optimize, organize and transform data, to be further used to assist business.
Data & Analytics are effectively enhancing operations and digital reach for businesses by helping them personalize customer experience, hone their product strategy, and optimize their decision-making capabilities. Derive value and opportunity from your growing data.
We assist you to leverage Data Visualizations, Business Analytics, Artificial Intelligence, Machine Learning, Deep Learning, and Unified Data Platforms to create value for your business, with an integrative approach towards the implementation of business intelligence projects. Our data and analytics services are based on technologies such as Power BI, Tableau, Opentext, ClickView.
Translate your business data into actionable insights to enable informed decisions. We are a leading data visualization company, enabling you to leverage visual elements such as charts, graphs, and more to visualize your data for business intelligence to plan and shape your next business move.
Our data visualization services keep you up to speed on your business trends and patterns, and the latest activities by automatically pulling data from various sources. The information is presented in the most consumable format suitable to the data type that helps you identify the customer behavioral shifts and reasons, and predict what will happen the next.
Redefine your organisational processes with data science for predictive capabilities that help you anticipate opportunities and challenges for your business. Our experts are here to help you build a future ready business, based on data-sets structured by effective algorithms that keep you up to speed on the patterns underlying your business.
As a leading data science service provider, we enable businesses to apply advanced analytics and event prediction by utilizing structured and unstructured data through powerful algorithms.
Transform your organization’s data silos into a centralized data repository and get a 360-degree view of the entire organization. Our approach towards data engineering covers all aspects of data transformation, including, data lake, data warehouse, and data marts.
Our Data Engineering solutions empower you to achieve data goals, monitor operations, and deliver when it is crucial for your business. It enables data ingestion from multiple and disparate data sources, create enterprise data strategy and architecture roadmap, undertake cloud data lake creation & configuration, and deliver robust end to end advanced data pipelines on AWS and Azure. Our data storage solutions include data lake, data warehouse and data marts, and ETL pipelines including, Batch ETL, Streaming ETL.
Leverage clarity of meaningful data through functional representation with interactive app and dashboard designs. With functional representation of data, we enable our clients to arrive at the right takeaways critical to their goals.
Data Science and Advanced Analytics bring out hidden patterns from the data, generating useful insights. Utilize these to derive insights from unstructured and structured data, assisting to make sense of all the data your business has gathered over the years, and leverage to solve complex business problems.
Data and analytics strategy and consulting
We work with clients to understand their business goals and challenges so we can develop a customized strategy and roadmap to help them implement machine learning solutions.
Platform-based approach for data and analytics
Industry-specific and agnostic platforms provide a standardized, streamlined, and cost-effective way of building data and analytics solutions for accelerated time to delivery.
Technology agnostic solutions
Our strong partnerships with multiple partners such as AWS, Azure, Terra Data, Tableau, Opentext, and IBM enable us to deliver solutions across multiple technology stacks.
- Enterprise Data Transformation Roadmap
- Enterprise Data Strategy
- Data Platform Evaluation
- Data Cloud Strategy
- Advanced ML Data Pipelines
- Batch and Stream Data Processing Solutions
- ETL and ELT Services
- Cloud Data Pipeline Architecture
- Cloud Data Pipeline Implementation
- Cloud Data Storage Advisory
- Data Storage Architecture
- Data Solutions
- Cloud Data Lake Implementation
- Cloud Data Warehouse Implementation
- Managed Cloud Data Storage Solutions
- Data Governance Strategy
- Enterprise Data Governance Solutions
- Master Data Governance
- Data Security and Controls
