Parker Hannifin is a Fortune 250 global leader in motion and control technologies. For 100 years the company has engineered the success of its customers in a wide range of diversified industrial and aerospace markets. Algro is delivering technology services and solutions to Parker Hannifin since 2012. Parker Motion Systems for their "mission critical" Internet of Things (IoT) program with aggressive timelines teamed up with Algro to guide, plan, design, build, and deploy the complete end-to-end Report Generation solution in Microsoft Azure Cloud for their world class customer’s management to view reports such as fuel consumed by a machine or a fleet daily, weekly, and monthly. Without having any impact on the performance, the solution required data extraction on almost real-time basis from 3rd party systems using the APIs, logging activity tracking, data cleansing, data conversion, building SQL data warehouse in Microsoft Azure cloud, data processing using the various mathematical equations for Report Generation and digital dashboards, integration with DataLake for storing the files and for data archival, and automating the complete solution by building and implementing the web jobs in the Microsoft Azure cloud. Algro launched the complete end-to-end IoT reporting solution in Microsoft Azure Cloud environment on time, on budget, and on value.
Sedgwick Claims Management Services, Inc., is a leading global provider of technology-enabled risk and benefits solutions. Sedgwick teamed up with Algro in 2016 to build an onsite team of SAP S/4 HANA for HANA architecture, data modeling, administration, Data Analysis and reporting, and Support.
Parker Chelsea teamed up Algro in 2013 to build a web based integrated reporting and forecasting system (CIRS). This required Algro data science and modeling team to study and analyzed 10 years of our client’s historic data for 14k parts for building the “Predictive Analytics” using Neural Networks and Regression modeling techniques. A total of over 120 different models were built. The key modules of the CIRS systems included:
ACTUAL (Historic Data): Role Based drill down summary and detail reports:
To view "role based" drill down summary and detail dashboards and reports by Order Qty, Product Type, Product Name, Customer Type, Customer Name based on various time periods (Daily, Weekly, Quarterly, Bi Annually, Annually, YoY, Custom Data Range.
FORECAST (Predictive analytics using neural networks and regression modeling techniques) Role Based Drill down summary and detail reports: To view "role based" drill down dashboard and reports by Part Number, Customer Type, Product Code, Product Series.
ServiceMaster teamed up with Algro in 2012 to build a web based dashboard and reporting system for their auditors and adjusters for claims management. This required building a data warehouse, role based digital dashboards and drill down reports using various input parameters and time periods.
WKNO teamed up V2 with Algro as its partner to design and build “web based interactive e-learning modules” for K-12 students.