Data & Analytics
Understanding Your Business Through Data Analytics
Effective analytics starts with trusted data. Data quality begins with solid data governance. It has to be well organized, relevant, accurate, and understandable. We’ll help create your data framework, build the strategy, optimize your infrastructure, processes and systems, and create the culture to become a data-driven organization. The next step is to use your data to give you the ability to act – through predictive analytics. The following step is to embed analytics into your day-to-day business processes.
ACCELERATE YOUR ANALYTICS CAPABILITIES
Orion has delivered dozens of Data & Analytics projects for various customers in diverse industries. We have the ability to work on 60-day POC projects as well as on larger scale data engineering projects.
We leverage several tools and platforms, including PowerBI, Tableau, Azure, KNIME, and Alteryx.
BENEFITS OF DATA ANALYTICS
Better Decision Making
Track Consumer Behaviour
New Business Opportunities
DATA ANALYTICS IN DIFFERENT INDUSTRIES
Supply Chain & Manufacturing
CPG & Retail
DATA ANALYTICS DELIVERY SERVICES
Planning & Design
Data Source Evaluation and Model Design
Examining data sources for consistency, availability, and accuracy to enable the development of data models.
Implement data pipelines and integrations to enable analytics and data science capabilities. Implement, improve or migrate data warehouse solution to consolidate disparate data sources under one roof and enhance company-wide decision-making.
Implementation & Delivery
Factory Delivery Model
Deliver hundreds of automations through program-scale delivery model working on continuous pipeline discovery and requirement documentation across multiple teams & functions and feeding into our global factory delivery team which handles development, testing, validation & deployment of automated processes.
Staff Augmentation Delivery Model
Our certified solution engineers and solution designers can be offered to our clients to work within their Agile delivery teams, leveraging the best practices from Orion’s delivery methodology
L1 Support Services
Monitoring dashboard periodic data refresh,
identifying inconsistencies, and performing data reloads where possible to ensure data consistency.
L2 Support Services
Incident root causing, bug fixing, testing and deployment back to production.
DATA ANALYTICS KEY USE CASES
End-to-End Supply Chain Visualization
Executive Performance Management
Define all the KPIs for the business unit and to design and build
enterprise performance management dashboards for the BU
management on Azure / PowerBI.
• KPI Definition
• KPI Training & Deployment
• Dashboard Design
• Dashboard Development
• Dashboard Operations
MRP Automation for Global Spare Parts Management
Designed and built an end-to-end solution that pulls data from SAP, performs complex calculations, and generates a set of output reports used by all global spare parts MRP controllers for analysis and decision making. This involved a full project lifecycle including requirement analysis, solution design, solution build, validation, deployment, and support.
AI Based Replenishment and Forecasting
Built a replenishment AI prediction data model based on historical agent/distributor consumption, improved seasonality factors, and additional market/customer specific statistics that further boost prediction accuracy. The data model was coupled with an operational dashboard that helps replenishment planners provide context to replenishment predictions and enable final decision making.
Build a dashboard that shows the customer journey with the company to allow sales team to identify risk of churn using Azure Machine Learning. It allows the business to target the customer with the appropriate offers for the right category of products.
Many companies are using data analytics and innovation to make better decisions and improve their businesses. Here are some of the benefits that data analytics service providers can deliver for your company:
o Improved decision making: make better decisions by analyzing input and finding patterns.
o Improved customer service: understand your customers better and provide them with better service.
o Improved efficiency: automate tasks and processes, making your company more efficient.
o Improved financial performance: optimize your business to improve your financial performance.
BI excellence helps companies organize and make sense of their assets so that they can be easily tracked and analyzed. Decision-makers can then drill down and get the input they need quickly, empowering them to act proactively.
Implementing an intelligent data solution also allows companies to accrue the following benefits:
o Improved decision-making. The use of data mining, extraction, and analysis tools can help the business to make better decisions, spot trends and new business opportunities.
o Reduced risk management costs. Businesses that implement BI systems tend to minimize their risk management costs because they can identify potential risks before they occur and act proactively.
o Better customer experience. This can be achieved through enhanced customer relationship management systems that use data analytics techniques to improve sales and marketing strategies and using predictive analytics techniques to predict customer sentiment.
With a choice so wide, it can be challenging for companies to land the right tech partner. The main selection criteria include:
o Tech expertise – a diverse set of skills, credentials, and certifications in the field of data, artificial intelligence, and related technologies.
o Projects in your or adjacent domain – a relevant portfolio with similar projects, preferably showcased on a provider’s website.
o Future maintenance and support opportunities – post-production support to address any issues after deployment.
o Strong employer brand – industry awards, positive testimonials, and unequivocal positioning.
o Reliability & transparency – all terms and conditions are documented in a transparent agreement.
o Communication & agility – direct client engagement in the project, regular communication via a single communication channel, and change-friendly project management.
The post-implementation phase is crucial for the successful adoption of a business intelligence application.
First, it is important to ensure that all users are trained on how to use the application. This includes both the technical aspects of the application and how to interpret the data that is provided by the application. Second, an adopter should establish clear goals and KPIs for the application. This will help ensure that the application is being used to its full potential and that it is providing the most value to the business. Finally, regular maintenance and support activities help ensure low incident occurrence, proactive issue resolution, and reduced total cost of ownership.
Our experienced BI technology experts help organizations maintain BI applications and elevate existing BI solutions including analytics, reporting, ETL, and others. We are well-versed in a wide range of business intelligence platforms and databases to provide individual maintenance cadence for unique needs.