Big data developers from InData Labs can help you harness your data for predictive maintenance or condition monitoring, warranty reserve estimation, workplace accident prevention, anomalous action detection, and supply chain optimization. Using big data development tools and services for manufacturing, it’s easy to forecast product demand and organize manufacturing planning for resource and capacity.
InData Labs, a big data development company, provides tech services and solutions for field condition monitoring, crops monitoring AI, and precision agricultural decision-making. With big data solution services, farmers can gain insights on field irrigation, fertilization, pesticide prevention, etc. to achieve greater results.
Big data and mobile app development together with web custom solutions can help store owners leverage insights out of customers’ data (clicks, reactions, orders, bounce rate, abandoned carts, etc) and plan efficient targeting and cross channel marketing. Recommendation engines boost sales and enhance customer experience increasing customer ROI and lifetime value.
Big data software development can help healthcare organizations in proactive health management. Predictive models based on the real-time patient data help assess risk patient profiles and help doctors with diagnosis. Patient triage optimization allows decreasing waiting time and risk of infection. Wth sentiment analysis the healthcare provider can track the patients’ satisfaction with the services provided.
Harness big data services for building effective customer-focus strategies, identifying high-risk client profiles, and detecting fraudulent financial activities and managing financial risks. Get insights out of data to forecast and assess ROI.
We, as a big data service provider, develop custom solutions for efficient warehouse (tracking available items) and inventory management (understock and overstock prevention). Big Data analytics allow real-time fleet tracking for routing optimization and improving delivery times.
Data-driven logistics companies can save considerable costs, enhance operational efficiency and improve service level with AI and big data.
Glean and structure data from your IoT devices for smart analytics. Reap value from your IoT data for decision-making and improving your practices. With the help of big data services, you can open new revenue opportunities.
Get strategic insights out of your data for smart and efficient use of energy. Forecast energy demand and prices with custom big data solutions.
|Industry||Problem solved||Input Data||Outcome||Tech stack||Project duration|
|Financial Industry||Managing rewards points for the clients transactions||Raw transactions data with PCI information being removed||Amount of rewards points for every client in structured data||EC2, Docker, S3, Glue, Redshift, QuickSight||1,5 years|
|Financial Industry||Gift cards processing to keep track of statistics on money spent, amount of activated cards and major spending directions||Raw transactions data with PCI information being removed||Processed data with analysis and statistics for each type of cards||Lambda, s3, Glue, Redshift, PowerBI||2 years|
|Financial Industry||Solution for data ingestion and reporting (Financial reporting for banking)||SharePoint lists, CSV data||Processed data ready for analysis||Azure: Data Factory, Spark / DataBricks, Scala, Azure DevOps||6 months|
|Aircraft Industry||Processing the data from aircraft's engines to make predictions and analysis on their conditions and trends||Raw full flight data||Processed data with predictions and errors that can trigger the alarms||SQS, S3, Step Functions, Glue, Redshift, DynamoDB, SageMaker, PowerBI||1,5 years|
|Automotive||Smart factory Industry 4.0 solution for IoT and master data processing and reporting||IoT streaming data (SCV, OPC), SAP Idocs, relational databases||Lambda arch with hot notifications and cold analysis||Azure: IoT Hub, SAP, AKS, CosmosDb, Data Explorer, PowerBI, Angular, Azure DevOps||1 year|
|Automotive||Migration of huge monolith app to Azure (lift and shift / Containerization)||IoT streaming data (MQTT), master data||Application migration POC (no migration due to cost reasons (ORacle blocker)||Azure: IoT Hub, AKS, VMs, Pricing calc, Oracle, PostgreSQL, Oracle Cloud||-|
|Retail||Implementation of cross-region reporting system for retail analysis||Microsoft Dynamics||Processed data, Microstragegy reports||Azure: AKS, SQL, .NET, Synapse||3 years|
|Oil and Gas||Digitalization and corporate data warehouse solution for corporation and compliance needs||IoT, SharePoint, manual, SCV, Oracle||Single point of truth for corporate data assets with the corresponding analytics apps||SQL Server, Oracle, Kalido DW, PowerBI||5 years|
The client is a platform that connects influencers and brands. They needed to enable real-time analytics and connect to different social media platforms. We suggested integration of our custom social media analytics solution into their platform.
As a result, we’ve enhanced the client’s platform with real-time social media analytics and insights gathering.
The client is a construction company helping businesses manage their data. They wanted to improve their existing AI solution with accurate analytics. The challenge was to collect, analyze, process and visualize data.
The solution was to implement data lakes for efficient data processing and visualization. It’s accelerated decision making and increased efficiency.
The client develops apps for the baby care industry. We were challenged to simplify data collection and reporting. Our team gathered, analyzed, processed much of the data and decided to implement BI for effective data bottlenecks elimination.
Our solution has improved the client’s app adding better reporting functionality and greater customer experience.