Break the barriers to data access and eliminate the inefficiencies of data ingestion.
With the gradual shift from business intelligence to new technologies rooted in machine learning and AI to automate insights generation, businesses need to have access to accurate and up-to-date information to stay competitive. Data access is a critical part of the data analytics pipeline, and it involves the process of collecting, transferring, and storing data from various sources into a central repository for analysis. In this blog, we will explore what Incorta is and how it can revolutionize the way businesses ingest and use data.
Why access to data matters
Access to data is the first step in the data analysis journey. It involves the extraction of data from various sources, such as databases, cloud services, spreadsheets, and external APIs, and the transformation of this data into a business-ready format that is suitable for analysis. The quality and efficiency of data ingestion can significantly impact the success of data analytics initiatives.
Challenges in traditional data ingestion
Traditional data ingestion methods often involve complex ETL (Extract, Transform, Load) processes, which can be time-consuming and resource-intensive. These processes often run on fragile data pipelines that fail or need to be restarted, introducing delays to how and when data is delivered to end-users for consumption and analysis, slowing down workflows and creating bottlenecks in business decisions and critical operations. Additionally, traditional data ingestion methods struggle with the extraction and delivery of data at scale. As organizations look to new tools such as machine learning and AI-driven applications to uncover new opportunities and proactively identify and mitigate risks, immediate access to the latest data in addition to billions of records of historical data becomes a critical factor in their data strategy.
A different approach to data access
Incorta’s platform is designed to address the shortcomings of traditional ETL and data ingestion methods by taking a different approach to how data is acquired from multiple, complex ERP systems and delivered to data practitioners and downstream applications.
- Immediate access to data: Whether your data is stored in a legacy ERP system such as Oracle and SAP, or a business application such as Salesforce and Workday, the revolutionary Direct Data Mapping™ technology of Incorta’s platform automatically determines the relationship between these disparate datasets, combines and stores the data for ultra-fast queries to answer the latest business questions. Data practitioners and analysts now have immediate access to the latest data to run analysis that informs business decisions.
- Transactional details matter: Since the traditional ETL process relies on data deconstruction and heavy modeling, up to 90% of the original data is lost through this process to transformation and aggregation. Incorta delivers 100% of the original source data down to the individual records, enabling users to drill and explore data in any direction to find anomalies, outliers and root causes of breaches in KPIs and topline metrics.
- AI-driven insights you can trust: For data teams building tomorrow’s machine learning models and AI applications to support analytics use cases, access to billions of records of relevant data to train and tune algorithms is one of the key ingredients in the accuracy of the output of such models. Incorta enables data science teams with a wealth of data, from data silos across the organization to test the quality and veracity of machine-generated insights, ensuring the business can trust these insights for decision making and eliminate second-guessing and doubt common when having to decide using partial data.
As the era of BI-driven decision-making shifts to machine and AI-led decision intelligence, data access plays a crucial role in the success of the data and analytics technologies that support business decisions. Incorta offers a game-changing solution to the challenges posed by traditional data ingestion methods. With its unique approach to data access, acquisition, consolidation and delivery enabling businesses to gain a competitive edge in today’s-AI/ML-focused technology landscape.
To learn more, sign up for a live demo with our team.