SCIKIQ, the native data fabric platform developed by Data and Analytics Services Pvt Ltd, has been recognized as a Notable platform in the augmented business intelligence (BI) platforms landscape Q1 2023 report by Forrester Research.
The report, authored by Forrester analyst Boris Evelson, highlights SCIKIQ’s ability to support the development of domain-specific applications and use cases. SCIKIQ has been recognized for its versatile capabilities as a data fabric platform. Check the report here.
Boris Everson is Vice President and Principal Analyst at Forrester. He is a leading expert in insights-driven business (IDB) capabilities. Boris delivers strategic guidance, helping enterprises define IDB strategies, governance, and architectures and identify vendors and technologies that help them put the information to use in business processes and end-user experiences.
What is an augmented Business intelligence (BI) platform
Forrester defines augmented business intelligence (BI) platforms as enterprise reporting and analytics software augmented with AI to provide descriptive and diagnostic analytics, data visualization and exploration, reporting and dashboarding functionality, data integration, and advanced predictive and prescriptive analytics based on statistical analysis and machine learning. These platforms support both graphical and conversational (cognitive) user interfaces.
In simple words, an Augmented BI (Business Intelligence) platform is a type of BI platform that incorporates advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) to enhance its capabilities. It uses these technologies to automate processes, augment human intelligence, and provide more sophisticated insights.
Augmented BI platforms utilize AI and ML algorithms to automate data preparation, analysis, and reporting. They can identify patterns, correlations, and anomalies in data that may be difficult or time-consuming for humans to detect. This allows users to focus on higher-level analysis and decision-making rather than spending time on repetitive tasks.
BI or Business Intelligence platforms with Artificial Intelligence (AI) integration can help to automate many tasks and are designed to provide users with faster, more accurate, and more meaningful insights, enabling them to make data-driven decisions with greater confidence and efficiency.
SCIKIQ has been recognized for its versatile capabilities as a data fabric platform. This places SCIKIQ alongside other industry leaders such as AWS, Tibco, DOMO, Microsoft, Salesforce, and Google Cloud. These platforms offer a variety of tools for data integration, visualization, and analysis, focusing on advanced analytics, ease of use, and embedded analytics.
SCIKIQ as an Augmented BI platform & More
A Trailblazing, No code, All in one Data fabric platform. SCIKIQ is an innovative AI-driven Data Fabric that seamlessly works across any organization’s internal data silos, complex multi-vendor, and multi-cloud environments, to deliver a customized real-time accurate view of its data instantly, all at a fraction of the cost and time of traditional solutions.
There are multiple vendors, multiple solutions, and stop gaps and all enterprises are looking for is what data management platform can function on top of this complex layer of data infrastructure and the organizational ecosystem they need not a muti-vendor solution but an all-in-one data platform that works for them and Precisely why do you do need all-in-one Data platform.
SCIKIQ’s value proposition lies in its ability to enable enterprises to easily derive business value from their data. Unlike the Competition, SCIKIQ focuses on putting the business lens and context on data, rather than pushing another tool and/or methodologies for faster computing and storage.
Scikiq achieves this by removing the complexity and technical barriers associated with traditional data analytics platforms. Instead of relying on complex coding or scripting, Scikiq offers a user-friendly interface that allows business users to easily access and analyze their data. Furthermore, Scikiq’s platform is built to be flexible and scalable, allowing it to be tailored to the unique needs of each individual business. This level of customization is not always available with other solutions.
Over the last few years and it will be a trend in the future too, developments within the hybrid cloud, AI, IoT, real-time, social media, and edge computing have led to the exponential growth of data, creating, even more, bigger data silos, security, data management issues, and other complexities for companies to manage. In this situation, it is imperative that data is all in one place with greater automated data governance in place for all the data environments to analyze the data for the enterprise at one go. Read more