Aryng Review: Data Science Consulting

About Aryng

Aryng: Empowering Businesses with Data-Driven Insights

Aryng is a data science consulting firm focused on enabling businesses to harness analytics for impactful decision-making and operational excellence. By transforming raw data into actionable insights, Aryng empowers organizations to achieve significant growth and efficiency.

Usability and Features of Aryng

Aryng’s offerings are designed for seamless integration into diverse business environments. The platform is user-friendly and accessible, even for non-technical stakeholders. Its features include:

• Customized Data Science Consulting: Tailored solutions for predictive analytics, market segmentation, and more.
• Data Literacy Training: Programs to enhance teams’ data skills and foster a data-savvy culture.
• Customer Analytics Solutions: Tools to analyze customer behavior and inform marketing strategies.
• Proprietary Frameworks: Aryng’s BADIR framework ensures structured and impactful analytics.
• Educational Resources: Case studies and insights showcasing successful implementations in various industries.

Why Aryng Stands Out Among Competitors

Aryng offers a unique blend of data science and decision science, ensuring that every insight translates into actionable strategies. Some of its standout features include:

• A proprietary BADIR framework that provides a structured approach to analytics.
• Comprehensive training programs that empower clients to leverage data independently.
• A proven track record with industry leaders like IBM and Google, establishing credibility and expertise.
• Solutions tailored to specific industries and business needs.

Ideal Users and Use Cases for Aryng

Aryng is best suited for professionals and organizations across various industries. Below is a table highlighting ideal user groups and specific use cases:

User Group	Use Cases
Retail Managers	Optimizing inventory management and sales strategies.
Marketing Teams	Implementing targeted campaigns based on customer segmentation.
Customer Service Managers	Enhancing customer experience through service metric analysis.
Executives	Making informed strategic decisions using comprehensive data insights.

Aryng excels in use cases like retail analytics, financial customer lifetime value analysis, operational efficiency improvements, and customer relationship management (CRM). By focusing on actionable insights and fostering a data-driven culture, Aryng helps businesses unlock their full potential.

Features

Reporting features in Aryng’s software

Aryng’s software offers robust reporting capabilities designed to provide accurate and auditable analytics at scale. The key features include:

• AI-Powered Unstructured Data Warehouse: Analyze unstructured data 10x faster for complex queries.
• Comprehensive Analytics: Identify trends and relationships across large datasets.
• Natural Language Processing: Simplify analysis with natural language-based insights.
• Customer Support and Knowledge Management: Use data to guide internal and customer-facing applications.
• Transparent Queries: Explainable and verifiable query results enhance trust in analytics.
• Flexible Querying: Tailor analytics with natural language, hybrid search, or keyword queries.
• Data Literacy Programs: Training to enhance data utilization and build organizational data culture.

Aryng’s reporting features empower businesses to track key metrics effectively and make informed decisions.

Integration opportunities in Aryng’s software

Aryng integrates with multiple platforms to enhance functionality:

• AWS S3 Data Lake: Scalable storage for managing large datasets.
• Tableau: Advanced data visualization for creating interactive dashboards.
• AWS AppFlow and AWS Glue: Automate ETL processes and secure data transfers.
• Apache Airflow and Amazon Redshift: Efficient data workflows and scalable querying.
• Single Source of Truth (SSOT): Unified metrics for consistent data across teams.

These integrations streamline workflows, improve data accessibility, and drive better business outcomes.

Availability of mobile apps

Aryng does not offer dedicated mobile applications. However, their focus on data science consulting, analytics services, and training ensures businesses leverage data effectively for decision-making.

Single Sign-On (SSO) features

Aryng’s software supports SSO, offering:

• Enhanced Security: Single entry point authentication reduces risks.
• Streamlined Authentication: Simplifies login processes for users.
• Centralized User Management: Unified control over user access.
• Two-Factor Authentication (2FA): Adds an extra layer of security.
• Compatibility: Works with Google SSO, Microsoft Azure AD, Okta, and more.
• Regulatory Compliance: Helps meet GDPR and PCI DSS standards.

SSO enhances convenience, security, and compliance for users.

Automation features in Aryng’s software

Aryng leverages automation to enhance operational efficiency:

• Integrates AWS for scalable data storage and processing.
• Streamlines ETL processes with AWS tools.
• Proprietary frameworks (BADIR, BEDIR) optimize workflows.

By automating data management, Aryng reduces manual workload, delivering real-time insights and productivity gains.

Security measures in Aryng’s software

Aryng prioritizes robust security:

• GDPR Compliance: Ensures data protection for EU users.
• SOC 2 Compliance: Evaluates security, availability, confidentiality, and more.
• Data Encryption and Access Controls: Protect sensitive data from unauthorized access.
• Incident Response: Processes for timely breach notifications.
• Transparency: Clear privacy policies and consent practices.

These measures safeguard user data and enhance trust.

API features in Aryng’s software

Aryng’s API provides:

• Integration Flexibility: Connect external systems with ease.
• Customization: Tailor analytics to business needs.
• Pre-Built Connectors: Speed up system integration.
• Error Handling: Ensure reliable data transfers.
• Developer-Friendly Features: Proprietary ETL language for complex workflows.

Aryng’s API enhances functionality and user experience with seamless integration opportunities.

Deployment options in Aryng’s software

Aryng offers both cloud-based and on-premises deployment:

Cloud-Based

• Pros: Cost-effective, scalable, accessible, automatic updates.
• Cons: Security concerns, compliance limitations, internet dependency.

On-Premises

• Pros: Full data control, customization, better performance.
• Cons: Higher costs, maintenance responsibility, limited scalability.

Organizations can choose the model that best suits their needs.

Pros and cons of Aryng’s products and services

Pros:

• Expertise in Data Science: Trusted for delivering actionable insights.
• Custom Solutions: Tailored to meet unique business needs.
• Quick Turnaround: Efficient execution and integration.
• Collaborative Approach: Enhances knowledge transfer.
• Strong Client Testimonials: Proven impact on clients like Spreedly and Life360.

Cons:

• Cost: Premium services may not suit smaller businesses.
• Complexity: Solutions may require training for effective use.
• Dependence on Data Quality: Insights depend on clean, reliable data.
• Scalability: Expanding solutions across large teams may need extra effort.

Aryng’s offerings are ideal for businesses seeking expert, tailored analytics solutions, though they may require investment and preparation.

Location

Locations and Branches

Below is a detailed table of Aryng’s headquarters and other branches:

Country	City	Address
USA	Santa Clara	3333 Bowers Avenue, #130, Santa Clara, California 95054
India	Remote	Various locations (exact addresses not specified)
USA	Remote	Various locations (exact addresses not specified)
South America	Remote	Various locations (exact addresses not specified)

This provides a comprehensive view of Aryng’s locations and branches.

History and Team

History of Aryng

Year Founded:

Aryng was founded in the year 2011.

Number of Employees:

Aryng currently has approximately 50-100 employees.

Team:

Below is a table showcasing the founder and their position:

Name	Position
Piyanka Jain	President & CEO

Aryng is a global consulting firm specializing in data science and data literacy. Founded by Piyanka Jain, who serves as the President and CEO, the company focuses on empowering enterprises and startups with innovative tools for fast growth and real business impact. Piyanka Jain, a renowned expert in analytics, has over 15 years of experience and developed the BADIR framework, which is instrumental in driving actionable insights and substantial business outcomes.

Aryng has been instrumental in building data architectures for both startups and Fortune 500 companies, facilitating the adoption of data-centric practices. Operating with a diverse and skilled global team, Aryng emphasizes a data-driven approach to decision-making, ensuring success across various industries.

Pricing

Business Model of Aryng

Aryng is a company that specializes in providing analytics and data science solutions. Their business model revolves around consulting, training, and education in the field of data science and analytics. Below is a detailed breakdown of their offerings:

Pricing Plans

Aryng offers flexible pricing options for their training and consulting services. Their pricing plans are categorized into individual and corporate solutions. Here is a detailed breakdown of their pricing structure:

Plan Type	Details	Cost
Individual Month-to-Month Access	Includes mentoring on live projects, official BADIR certification, and subscription-based access to educational resources.	$99, $199, $299 (specific tiers available)
Corporate Training	Tailored training solutions for organizations, focusing on enhancing corporate data capabilities.	Pricing not explicitly detailed; customized plans available

Services Offered

1. Data Science and Data Engineering Consulting:
   

   Aryng provides customized consulting solutions for startups and enterprises, helping them leverage data for better decision-making.

   
   
2. Data Literacy and Training:
   

   Aryng offers a range of courses aimed at individuals and corporations. Their training programs focus on building a data-driven culture within organizations. This includes:

   • Live mentorship on projects.
   • Official certification (BADIR framework).
   • Practical, hands-on training.

Conclusion

Aryng’s business model is centered around equipping individuals and organizations with the tools and knowledge to excel in data science and analytics. Their flexible pricing plans cater to both individual learners and corporate clients, offering a mix of live mentorship, certification, and practical training projects.

For more information about their offerings, you can visit their official website: Aryng or explore their training academy at Aryng Academy.

Funding and market

Industry

Aryng operates in the data science consulting and analytics consulting industry. This sector focuses on enabling organizations to utilize data effectively for strategic decision-making, operational efficiency, and growth. Aryng’s services are tailored for startups as well as enterprises, with a strong emphasis on creating measurable business impacts through advanced analytics solutions.

Market

Market Description

Aryng is part of the global data science consulting and augmented analytics market. This market is characterized by a growing demand for data-driven decision-making, fueled by the increasing adoption of artificial intelligence (AI) and machine learning (ML). Aryng positions itself as a key player by offering analytics training, data literacy services, and proprietary frameworks like BADIR, which streamline analytical processes and deliver measurable ROI.

Market Size

The global augmented analytics market was valued at USD 16.60 billion in 2023 and is expected to grow at a compound annual growth rate (CAGR) of 28.0% from 2024 to 2030. Additionally, the broader data analytics application market was worth approximately $23 billion in 2019, illustrating a consistent growth trajectory.

Market Share

While Aryng’s exact market share is not explicitly documented, the company has established itself as a significant player, working with high-profile clients like Comcast, Google, and Regeneron. Aryng’s innovative approach and focus on data culture have allowed it to carve out a niche in this competitive industry.

Funding

Aryng has raised a total of $750,000 over two funding rounds. Below is a detailed table of their funding history:

Date	Round Type	Amount Raised	Investor
August 30, 2012	Seed	$500,000	EvoNexus
November 8, 2012	Seed	$250,000	EvoNexus

The total funding raised stands at $750,000, with EvoNexus being the primary investor in both rounds.

Stocks

Aryng is a private company and does not have publicly traded stocks. Therefore, they do not have an official ticker symbol.

This concludes the detailed explanation of Aryng’s funding, market, industry, and stock-related information.

Latest news

1. GenAI in Data Analytics: Navigating the New Wave

• URL: GenAI in Data Analytics Blog
• Key Takeaways:
  • GenAI augments human capabilities rather than just automating tasks.
  • Conversational collaboration with AI tools like ChatGPT is transforming workflows, emphasizing critical thinking.
  • Leaders play a crucial role in setting directions, providing resources, and establishing guidelines for GenAI implementation.
  • The blog highlights the necessity for adaptability and continuous learning in the rapidly evolving tech landscape.
• Additional Insights:
  • The transition to GenAI requires a shift from entrenched habits, emphasizing practical experimentation and training.
  • Decision-making and critical thinking remain uniquely human capabilities essential when integrating GenAI.

2. The Top 3 Challenges to Scaling Data Analytics – and How to Fix Them

• URL: Challenges to Scaling Data Analytics Blog
• Key Challenges Identified:
  1. Lack of alignment between business leaders and data teams.
     • Example: A CDO faced issues with unclear responsibilities, duplication of effort, and poor data quality, leading to lost deals and inefficiencies.
  2. Slow and inefficient analytics processes.
     • Example: Using Agile frameworks for data science projects led to missed deadlines and wasted resources.
  3. Skill gaps limiting execution.
• Solutions Provided:
  • Aligning data initiatives with clear business metrics.
  • Creating a single source of truth (SSOT) to avoid conflicting data.
  • Prioritizing high-value use cases to demonstrate ROI quickly.

3. What is Next in Data Literacy? 2023 & Beyond

• URL: Data Literacy Blog
• Key Evolutionary Insights:
  • Data literacy has evolved since 2015, with increasing emphasis on using tools like Tableau and Power BI effectively.
  • Presently, organizations are moving towards enterprise-wide data literacy, but challenges remain in making training impactful and aligning it with business goals.
• Historical Context:
  • Initially led by IT, early data literacy initiatives focused on technical training.
  • By 2020, data literacy expanded enterprise-wide but often lacked depth and connection to tangible business outcomes.
• Future Outlook:
  • Leaders are urged to connect data literacy initiatives to business objectives for measurable success.
  • Companies must shift from technical training to applying data literacy for actionable insights.

These blogs highlight Aryng’s active role in addressing key challenges and trends in data analytics and literacy. They also showcase Aryng’s thought leadership in integrating cutting-edge technologies like GenAI and fostering a data-driven culture. Links to the full content are provided for a deeper dive into the topics.

Search Trends

Search Volume Analysis for Aryng’s Website

To analyze the popularity of Aryng’s website, we evaluated the search volumes for various related keywords. Below is a table showcasing the search volumes and other metrics for these keywords:

Keyword	Search Volume (Oct 2022 – Oct 2023)	Competition	Low CPC ($)	High CPC ($)
Machine Learning	49,500	Low	2.73	6.6
Data Engineering	27,100	Low	3.15	8.32
Data Analytics Consulting	1,300	Low	7.31	29.54
Data-Driven Culture	210	Low	5.13	14.09
Data Literacy Training	170	Low	2.46	5.78
Data Science Glossary	30	Low	N/A	N/A
CAC Optimization	10	Low	N/A	N/A
LTV Optimization	10	Low	N/A	N/A
Enterprise Data DNA	N/A	N/A	N/A	N/A
BADIR Methodology	N/A	N/A	N/A	N/A

Trends in Popularity of Aryng’s Keywords

The popularity of Aryng’s keywords varies significantly, revealing trends in search behavior:

1. High Search Volume Keywords:
   • “Machine Learning” (49,500) and “Data Engineering” (27,100) are the most searched keywords associated with Aryng. These topics are mainstream, widely applicable, and in high demand across industries. Their broad appeal and relevance contribute to their high search volumes.
2. Moderate Search Volume Keywords:
   • Keywords such as “Data Analytics Consulting” (1,300) and “Data-Driven Culture” (210) reflect Aryng’s focus on consulting services and fostering data-driven decision-making. While not as widely searched as mainstream tech topics, these keywords demonstrate a niche interest aligned with Aryng’s offerings.
3. Low or No Search Volume Keywords:
   • Niche terms like “Enterprise Data DNA” and “BADIR Methodology” show no significant search volume. These are specialized concepts that may not yet be widely recognized outside expert circles. Limited awareness and narrower applicability contribute to their lower visibility.

Reasons Behind Search Volume Trends

The observed trends can be attributed to the following factors:

• Mainstream Topics: High search volumes for “Machine Learning” and “Data Engineering” are driven by their widespread industry demand, broad applicability, and general familiarity. These topics benefit from extensive educational resources, active communities, and open-source tools, which increase their visibility and engagement.
• Niche Specializations: Terms like “Enterprise Data DNA” and “BADIR Methodology” have lower search volumes due to their specialized nature and limited market awareness. These proprietary or niche concepts require targeted marketing and educational efforts to build recognition and drive interest.
• Market Trends: The disparity between mainstream and niche topics reflects broader market trends, where widely applicable concepts attract more attention compared to specialized methodologies.

Review

Customers

Notable Companies Using Aryng’s Software

1. Life360
   • Overview: Life360 is a family safety app with over 50 million active users. It provides features like location sharing, driving safety, and emergency assistance.
   • Use of Aryng’s Software: Since partnering with Aryng in 2020, Life360 has utilized Aryng’s data science and analytics capabilities to improve lifecycle marketing, product development, and growth hacking. Aryng helped Life360 cut analysis time by 75% and unlock $35 million in revenue by building a scalable data infrastructure.
   • Impact: The collaboration enabled Life360 to create dashboards and define key performance indicators (KPIs) that were previously lacking, facilitating better decision-making across various teams. Aryng’s proprietary BADIR framework streamlined their data analysis processes, transforming the way Life360 tracks subscriber growth, leading to significant revenue increases and operational efficiencies.
2. FCTI, Inc.
   • Overview: FCTI is a nationwide provider of ATM and financial technology solutions, specializing in the placement and operation of ATMs for banks and retail establishments.
   • Use of Aryng’s Software: Aryng was tasked with overhauling FCTI’s cash forecasting model to enhance accuracy and efficiency. The project involved implementing AI and machine learning tools to optimize cash management processes.
   • Methodology: Aryng applied its BADIR framework to address inaccuracies in FCTI’s existing cash management model. This included redefining success metrics, utilizing advanced time series data, and calibrating machine learning algorithms to improve forecasting accuracy.
   • Impact: The partnership resulted in a 6% improvement in forecasting accuracy and a 10% reduction in operational costs. Enhanced cash management led to improved customer experiences and increased transaction volume, ultimately boosting revenue.

These examples illustrate how Aryng’s software and consulting services empower organizations to leverage data science, enhance operational efficiencies, and drive significant business growth.

Alternatives

Comparison of Alternative Software Options to Aryng

Software	Key Features	Pricing	Target Audience
Google Analytics	Free web analytics service; tracks website traffic, user behavior, and campaign effectiveness.	Free	Businesses of all sizes looking for web insights.
SEMrush	All-in-one marketing toolkit; SEO performance tracking, keyword research, and competitive analysis.	Starting at $119.95/month	Digital marketers, SEO professionals, and agencies.
Hotjar	Website heatmaps, session recordings, feedback polls, and surveys to understand user behavior.	Free for basic features; paid plans start at $39/month	UX/UI designers, product managers, and marketers.
Looker Studio	Free interactive dashboard and data reporting tool; integrates with many data sources for visualization.	Free	Marketers and data analysts needing reporting tools.
Tableau	Data visualization and business intelligence software; allows users to create interactive, shareable dashboards.	Starting at $70/user/month	Businesses seeking advanced data analysis capabilities.
Microsoft Power BI	Business analytics tool providing interactive visualizations and business intelligence capabilities.	Free version; Pro version at $9.99/user/month	Businesses looking for data-driven decision-making.
Qlik Sense	Self-service data analytics and visualization tool; supports advanced analytics and dashboards.	Starting at $30/user/month	Enterprises needing comprehensive data integration and visualization.
Domo	Cloud-based business intelligence tool; real-time data visualization and collaboration.	Pricing upon request	Organizations needing comprehensive business insights.
Zoho Analytics	Business intelligence and analytics platform that provides data visualization and reporting tools.	Starting at $25/month	Small to medium-sized businesses looking for analytics.

Comparing FlowHunt with Aryng

Both Aryng and FlowHunt emphasize harnessing AI to boost productivity and streamline operations. While Aryng specializes in consulting and training for data-driven decision-making, FlowHunt provides a no-code platform empowering users to create custom AI tools. With FlowHunt, users can achieve similar AI-driven automation and efficiency as Aryng’s services, but with the added advantage of flexibility and hands-on customization.