Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked data audit startups.
Global Startup Heat Map: 5 Top Data Audit Startups
The 5 data audit startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 data audit startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 482 companies we analyzed for this specific topic.
Nakala Analytics works on Audits for Data-Driven Innovation
Data analytics projects often fail due to inefficient data auditing procedures. To facilitate data effectiveness, startups develop auditing solutions that analyze the collection, storage, security, and processing of data. The solutions help companies develop data usage guidelines to optimize the utilization of all available data assets and maximize revenues.
Kenyan startup Nakala Analytics offers data inventory solutions to implement data-driven innovation. The startup helps determine whether existing data assets are sufficient for effective innovation. Moreover, Nakala Analytics identifies anomalies and the potential of the data, as well as assesses the effectiveness of data collection and storage tools and processes.
Orca provides Freight Audits
Impeded visibility of financial processes and data flows in the supply chain leads to invoice mismanagement and ineffective payment procedures that cause inefficient expenditures and hinder operations. To solve these issues, startups develop data audit solutions that facilitate control, visibility, and accuracy of freight data. As a result, such solutions enable automated data collection, review, and reporting, improving the view on supply chain networks.
Canadian startup Orca provides freight audit, data cleansing, and reporting services for supply chain companies. The startup’s data audit software consolidates payment data, detects invoicing errors and duplications, verifies base rates, and analyzes the accuracy of final payments. Orca’s data auditing and analytics help optimize supply chain operations and reduce excessive expenditures.
Beinex offers Data Audit and Analytics
Effective data handling helps companies identify hidden opportunities, improve decision-making processes, and optimize risk mitigation practices. However, often businesses are unable to fully utilize their data. To help companies extract insights from data more efficiently, startups develop data audit and analytics solutions.
British startup Beinex provides auditing and analytics services to enterprises across various industries, including finance, human resources, procurement, and sales. Enhancing the audit process with data analytics tools using involve artificial intelligence (AI) and machine learning (ML) algorithms, the startup offers businesses to unlock data potential and enable full population testing. Moreover, Beinex provides audit analytics training courses for companies, enabling self-service analytics.
ATSEDA improves Data Quality
Data quality is crucial for customer satisfaction and subsequent cooperation, as well as for internal processes flow. For example, the proper collection of sensor data allows identifying defects in machinery, enabling predictive maintenance. Data audit solutions help to detect the most fitting data utilization and collection methods, as well as minimize data corruption.
Swedish startup ATSEDA provides data audit solutions for the manufacturing, retail, e-commerce, and forestry industries. The startup revises data for errors and inconsistencies, sets up funnels for unstructured data analytics, and enables data merging from various sources. ATSEDA optimizes data for such processes as predictive maintenance, supplier performance analysis, churn prediction, sales forecasting, as well as satellite imagery, and geospatial data augmentation.
ML2Grow enables Data Collection through Machine Learning-powered Audits
The identification of the right connection between the data at hand and the operational goals of the company is essential to maximize data audit results. Therefore, startups develop ML algorithms tailored to specific business needs. Such solutions help optimize the impact of a data audit on further innovation, as well as save resources on unnecessary assessments.
Belgian startup ML2Grow provides tailored data audit solutions powered by ML algorithms. The startup checks data assets and collection methods, as well as helps identify opportunities and bottlenecks, potential impact, and scalability of data frameworks. Developing a roadmap for innovation, ML2Grow enables the optimization of data collection methods and the integration of software and AI solutions. The startup’s solutions serve companies in the maritime, media, retail, and healthcare industries, among others.
Discover more Data Audit Startups
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