BIRD Analytics

Insights That Power Prediction

General Information
Company Name
BIRD Analytics
Founded Year
2014
Location (Offices)
Newark, United States +5
Founders / Decision Makers
Number of Employees
16
Industries
AI, Analytics, Big Data +2
Funding Stage
-
Social Media

BIRD Analytics - Company Profile

BIRD Analytics, founded in 2014, is a US-based startup focusing on the Analytics and Big Data industries. The company's slogan "Insights That Power Prediction" reflects its mission to provide advanced analytics and predictive capabilities. BIRD offers a one-on-one source data mapping engine, enabling data from various sources to be mapped to a single repository, DataHub, with configurable options like full or incremental refresh. The platform boasts an in-built columnar storage database, ensuring secure and consistent data storage across sources, and a zero coding user interface for quick configuration and real-time data analysis. The startup aims to establish a comprehensive micro-macro analysis framework to monitor and evaluate the performance of stakeholders and the organization at various levels. By providing KPI-driven insights and powerful dashboards for exploratory and predictive analytics, BIRD empowers organizations to make informed decisions without the need for a dedicated data science team. The platform also offers an intelligent search engine, allowing users to derive specific insights and reporting in real-time using plain English queries. With its innovative approach to data analytics and streamlined data management pipelines, BIRD Analytics has the potential to disrupt the traditional ETL and data modeling landscape. While specific information about the last investment and investors is currently unavailable, the company's focus on driving data-driven decision-making and simplifying complex analytics processes positions it as an intriguing prospect for potential investors in the analytics and big data space.

Taxonomy: ETL, Data Modeling, Micro-Macro Analysis, Data Governance, KPI Driven Insights, Dashboard Analytics, Predictive Analytics, Big Data Engine, Real-time Analytics, Embedded Analytics

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