Information Strategy And Governance
Data governance is critical to capturing value through analytics, digital, and other transformative opportunities.
Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies that also control data usage.
Corporations should evaluate the opportunity cost of not getting data governance right in terms of missed upside, extensive time lost in manually cleaning data, or incorrect and suboptimal business decisions.
Apar’s data governance solutions make it easier to streamline and scale core governance processes, enabling corporations to maintain compliance, democratize data, and support collaboration.
Data Engineering is the foundation for the new world of Big Data. Apar’s data engineering services help customers Ingest, prepare, and process data pipelines at scale for AI and analytics both on-prem and on the cloud.
Apar’s data engineering approach ensures that all right data (internal/external, structured/unstructured) are identified, sourced, cleaned, analyzed, modelled– without losing granularity and value as the data travels through this cycle.
Implementing enterprise data warehouse and data lake solutions
Data Integration and ETL implementations
Building data pipelines for business or analytics teams
DataOps for ongoing management, support, and enablement of data access
Big data is a big deal for modern corporations. Artificial intelligence (AI), mobile, social, and the Internet of Things (IoT) are driving data complexity through new forms and sources of data adding to the massive uptick in the amount of information from multiple sources that organizations collect, manage and analyze. Along with big data comes the potential to unlock big insights for every industry.
From more accurate forecasting to increased operational efficiency and better customer experiences, sophisticated use of big data and analytics is the secret behind today’s successful corporations capturing insights that drive innovation.
Apar’s big data analytics solutions allow business users to make better and faster decisions using data that was previously inaccessible or unusable. Our solutions make use of advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing to gain new insights from previously untapped data sources independently or together with existing enterprise data.
Cognitive Computing & Intelligent Analytics
From improving customer experiences, creating new business models, products, or services, or improving operations performance and corporate functions, AI is the key to help you extract the maximum value from your data and reap the full benefits of the AI revolution.
Artificial Intelligence (AI) is a combination of technologies that allows machines to sense, comprehend, act, and learn in order to extend or augment human capabilities.
Apar’s AI offering helps businesses engage and interact more effectively with customers—promoting insightful, personalized user interactions that drive loyalty, revenue, and growth. We provide solutions based on the world’s leading data analytics techniques and methodologies.
Business Intelligence & Reporting
Apart from AI-driven analytics solutions, Apar provides traditional business intelligence solutions helping customers turn their data into insights and distribute those insights to the people that can use them most—tools that support user-driven data discovery, visual analytics, BI reporting, and embedded analytics.
Apar’s experienced analytics teams implement business data analytics platforms that simplify and expedite data aggregation, data profiling, data modeling, data exploration, data visualization, association, pattern detection, reporting, and other tasks. Because of the user-friendliness, business users can explore data using simple interactions like selection, search, and drag-and-drop — without having to learn how to code or build analytical queries.