SCIKIQ gets Recognized In Forrester’s Augmented BI Platforms Landscape Report

Data and Analytics Services Pvt Ltd's data fabric platform, SCIKIQ, has been recognized as a Notable platform in Forrester Research's Q1 2023 report on augmented business intelligence (BI) platforms. SCIKIQ was commended for its versatility in supporting domain-specific applications and use cases.

The report offers an overview of 34 vendors in the augmented BI platforms landscape, defining such platforms as software that combines AI with enterprise reporting and analytics to provide various functions, such as descriptive and diagnostic analytics, data visualization, reporting and dashboarding functionality, data integration, and advanced predictive and prescriptive analytics based on statistical analysis and machine learning.

Forrester's Vice President and Principal Analyst, Boris Evelson, and other leading analysts authored the report.

SCIKIQ’s recognition as a data fabric platform places it in the company of other industry leaders such as AWS, Tibco, DOMO, Microsoft, Salesforce, and Google Cloud, all of which offer tools for data integration, visualization, and analysis.

What is Augmented Business Intelligence (BI) platform

Augmented Business Intelligence (BI) platforms are software systems that use artificial intelligence (AI) and machine learning techniques to enhance the analytical capabilities of traditional BI platforms.

These platforms provide advanced analytics functions such as predictive and prescriptive analytics, natural language processing, and machine learning-based automation to improve data analysis and decision-making processes. Augmented BI platforms enable users to uncover hidden insights in data, automate complex analytical tasks, and generate more accurate and timely insights.

They also offer data visualization tools, data integration capabilities, reporting and dashboarding functionality, and other features that enable businesses to make better-informed decisions based on data.

Businesses are turning to AI-based data management to gain insights, drive innovation, and remain competitive.?

AI-based data management can help organizations in various ways. For example, it can automate data entry and cleansing tasks, identify patterns and trends in data, and provide predictive analytics. With these capabilities, organizations can achieve faster and more accurate data analysis, improve data quality, and reduce operational costs.?

How does SCIKIQ leverage AI to change Data management?

Scikiq's advanced AI technology transforms data management for medium to large companies, providing real-time analytics, insights, and governance, and eliminating data silos.

What sets Scikiq apart from its competitors is its unique emphasis on putting the business lens and context on data, rather than merely offering tools and methodologies for faster computing and storage.

This approach makes it simple for business users to swiftly access and analyze their data, without requiring extensive technical training or expertise. Scikiq's platform is also designed to be flexible and scalable, allowing it to be customized to meet the specific needs of each business. This level of customization is often unavailable with other solutions, which can result in siloed data and limited cross-functional collaboration.

Overall, Scikiq's emphasis on ease of use, business-centric approach, and flexibility makes it the ideal choice for organizations seeking to quickly extract insights from their data and drive growth.

SCIKIQ is a leading AI-driven data fabric platform

SCIKIQ is a leading AI-driven data fabric platform that simplifies data management and contextualizes data to keep it relevant and available for business users.

By bringing together a no-code, self-service, all-in-one data fabric platform that leverages knowledge graph, AI & ML capabilities, SCIKIQ provides real-time insights, centralized data sources, and cost savings, and eliminates the need for multiple data vendors.

Its unique data fabric framework and architecture overcome data silos, democratize data, integrate real-time data, scale easily, and provide high ROI with cost savings of up to 60%.

SCIKIQ's unified data management platform architecture includes data integration, data discovery, data governance, data curation, data orchestration, and data analytics.?

Book a Demo with SCIKIQ to explore more on AI-enhanced Analytics.