Data & Analytics
Organizations generate wealth of data that contains valuable insights, and data analytics is the way to unlock them. Data analytics can help an organization with everything from personalizing a marketing pitch for an individual customer to identifying and mitigating risks to its business
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
Streamline Operations
Track Consumer Behaviour
Measure Performance
Mitigate Risks
New Business Opportunities
BENEFITS OF DATA ANALYTICS
DATA ANALYTICS IN DIFFERENT INDUSTRIES
Supply Chain & Manufacturing
CPG & Retail
Shared Services
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.
Data Integration
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
Service Operations
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
Designed and built a complex dashboard for end-to-end supply chain visualization (from supplier until customer). The dashboard extracts and aggregates data from multiple data sources, performs complex calculations and presents the data in an easy-to-use user experience, allowing planners to interact with operational and strategic KPIs that enabling planning across the full value stream.
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.
Customer Profiling
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.
TECHNOLOGIES
FAQ
Data analytics is a term used to describe the various tools and techniques used to extract insights from the existing data. This includes everything from visualization and machine learning to more traditional methods such as statistical analysis. The technology is constantly evolving, and new tools and techniques are being developed all the time. Our company selects a custom combination of methods and techniques to address the unique needs of a particular client
Data analytics as a service is used for a variety of purposes, from analyzing customer insights to understanding images and videos. It is a way to outsource the data analytics development process to companies that can share their expertise and reduce the costs of hiring an in-house team.
Some of the services that a data analytics company can provide include data mining service, analysis, predictive modeling, and more. They can help organizations to make better decisions by providing insights that would not be apparent from looking at the input alone. Data experts can also help to improve the efficiency of decision-making by automating the process of input analysis.
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.
The overriding objective of Big data for development is to uncover trends, patterns, and hidden relationships in vast datasets. Analytical solutions can process any type of data, whether it’s structured or unstructured. They also help devise new business opportunities and the optimum strategic moves.
Big data analytics provides the raw material for AI-enabled systems to surface actionable insights from your data. With this synergy, you can embrace advanced analytics capabilities more easily, including augmented or predictive analytics solutions.
BI adoption is a process of transforming the business into a data-driven organization by integrating effective data processing, analytics, and visualization across the enterprise. It includes using information technology to transform raw data into useful information that can be used to make decisions and take action. Organizations that aim to implement a business intelligence solution have to consolidate multiple databases into one central repository that can be accessed by all employees, making it easier to manage the business and dig up insights.
Power BI implementation cost depends on the project complexity, data quality, sources, deadlines, etc. Thus, if the company has a mature infrastructure with consistent data governance practices, the costs will be lower than developing the whole infrastructure from scratch.
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.
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