Big Data Analytics
Our Big Data Analytics Services help businesses handle vast datasets, uncover hidden patterns, improve operations, and make faster, data-driven decisions using scalable and secure big data technologies.
Design, engineer, and operationalize AI-powered analytics solutions that enable faster decisions, smarter forecasting, and measurable business growth.
DianApps helps organizations modernize their data ecosystems, deploy advanced analytics, and embed AI-driven intelligence into core business operations.
Our Big Data Analytics Services help businesses handle vast datasets, uncover hidden patterns, improve operations, and make faster, data-driven decisions using scalable and secure big data technologies.
We use advanced analytics and artificial intelligence to reveal deep insights, automate complex tasks, and enable smarter decision-making that keeps your business ahead of the competition
We design and build reliable data pipelines, integrate diverse data sources, and ensure smooth data flow to support real-time analytics, machine learning models, and business intelligence systems.
Present complex data in clear, interactive dashboards and reports. Our solutions make analytics accessible, enabling your team to identify opportunities and track KPIs with confidence.
Anticipate market trends and customer behavior with Predictive Analytics. We apply statistical models and AI to help you plan ahead and minimize risks effectively.
We combine data science and AI to develop intelligent algorithms that automate processes, identify trends, and deliver insights that power innovation and business transformation.
Our Business Intelligence solutions turn raw business data into strategic insights, enabling leaders to monitor performance, identify growth areas, and make confident, informed decisions.
Extract meaningful insights from images using AI-based image analysis. We help businesses automate quality checks, improve surveillance, and enhance user experiences through visual data.
DianApps delivers custom data analytics solutions customized to your business needs.
AI-powered data analytics customized to each industry for smarter decisions and a competitive edge.










As a leading data analytics service provider, DianApps helps unlock the true potential of your data with customized, future-ready solutions that drive real business growth.
Khatabook, the fastest-growing SaaS company, offers a digital ledger app for seamless financial management and tracking.
50 M+
Users
81 Cr+
Revenue Generated

Orby’s AI platform, powered by the first Large Action Model, streamlines enterprise tasks for enhanced efficiency.
$100 M+
Current Valuation
USA
Location


Freshworks’ AI-powered Freshdesk syncs support tickets with Salesforce for seamless IT services and faster resolutions
10 B+
Product Adoption
$561.7 M+
Revenue Growth


CaratLane offers 5,000+ timeless jewelry designs, making elegance accessible and affordable for every occasion.
883Cr+
Revenue
8 M+
Users

We follow a structured data analytics process from strategy to deployment to transform raw data into actionable insights. As a trusted analytics consulting company, we ensure every step drives real business impact.
Understanding your business goals to shape a data-driven strategy that delivers results.
Goal Assessment
Data Challenges Identification
Strategy Roadmap
Cleaning, processing, and modeling data using AI/ML for accurate insights.
Data Preparation
AI/ML Model Development
Performance Testing
Integrating analytics into your ecosystem with ongoing improvements and data security.
Seamless Deployment
Continuous Monitoring
Security & Optimization
We match you with the right data analytics experts based on your project requirements.
At DianApps, we integrate best-in-class tools, frameworks, and platforms to ensure your data analytics solutions are secure, scalable, and built for long-term success.
OpenCV
TensorFlow
YOLO
Amazon Rekognition
TensorFlow
PyTorch
Scikit-learn
Keras
Apache Kafka
Apache NiFi
Talend
Pandas
Power BI
Tableau
Looker
D3.js
Amazon S3
Google BigQuery
Azure Data Lake
MongoDB
Apache Spark
Hadoop
Flink
Apache Airflow
Informatica
Stitch
AWS
Google Cloud Platform
Microsoft Azure
Snowflake
Redshift
Google BigQuery
Qlik Sense
SAP BusinessObjects
Sisense


Founder, Thousand Greens
Thanks to DianApps proven expertise, Thousand Greens is now functioning smoothly, including its core features. The team works thoroughly, ensuring each output is reviewed, tested, and delivered with utmost quality.
Here's a list of FAQs that will help you learn more about DianApps.
In today’s fast-paced digital world, almost every business is flooded with raw data. To transform this data into actionable insights, businesses definitely need data analytics consulting services. These services also help organizations plan for a data-driven future.
Traditional data analytics relies heavily on standard statistical techniques to identify basic trends and insights. In contrast, advanced analytics uses modern methods such as predictive analytics, artificial intelligence, and machine learning to solve complex data challenges more efficiently and in less time.
On average, it takes 4 months to a year to deliver robust data analytics solutions. For a more accurate timeline, it's best to connect with experienced data analytics experts. The delivery duration also depends on factors such as project complexity, integration needs, and the business domain involved.
Data analytics development solutions typically range from $30,000 to $200,000, depending on several factors such as project requirements, complexity, features, and the adopted technology stack.
Data analytics experts at DianApps are highly proficient in using the latest tools and platforms, including Looker, Tableau, Python, Power BI, R, AWS, Snowflake, and Apache Spark. This ensures that the solutions we deliver are both scalable and efficient.
Absolutely. Along with delivering analytics solutions, we also offer data integration services. Our team is well-versed in integrating analytics solutions with ERP systems, cloud services, databases, CRMs, and third-party platforms to ensure seamless data flow and an effective reporting strategy.
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