Brillio transforms the Analytics COE in the networking space with the automation of data access and self-service capabilities for key business insights.
About the Customer
The customer is a wireless networking company based in Santa Clara, California. The organization is 18 years mature and over 7000 people strong with revenue of around $2.9 Billion. Brillio is working closely with stakeholders from Sales & Finance teams to improve visibility to various business walks as well as unearth all issues that currently prohibit the effective generation of business insights and subsequent decision making. Our solution approach revolved around:
The business requirements and encapsulates the current state understanding of customer data strategy and analytics capabilities. The details captured in this document provide insight into the blueprint of the future state data architecture, prioritized list of analytics use cases and implementation roadmap.
Overall Scope for Future-Ready Data Strategy & Analytics Capabilities covering the pain-points faced by the customer with respect to their reporting and proposes future-ready (To-Be) data architecture. To enable business users to derive more value from their data & enhance their reporting capabilities to make data-driven decisions.
This program is focused on highlighting the challenges faced by the customer. At the end of the program, the business users and the decision-makers of customer organization will be able to:
Identify gaps in their current data utilization strategy
Access a harmonized data, providing a single source of truth for the entire organization
Identify their short term and long term data vision
Build uniform processes across the organization
Build a skilled and independent data practice through Analytics CoE
Have a completely democratized reporting tools and processes in place
Refer to a standard glossary for KPI’s
We would be identifying and studying all the source systems and processes across various business functions, geographies, and teams. We will be using our analytics and data expertise to build standard approaches and KPI’s across the organization and single unified source for the truth to refer to through our visualization experts.
This program addresses one of the pressing needs of the decision-making engine of the customer– to be empowered with the ability to enhance the current data landscape and data utilization and introduce new or modified reporting system and generate meaningful insights. The key drivers of this transformation will provide business users with a convenient platform to modify and create business decisions utilizing existing or new reports, dashboards, and use cases.
Below are the key items that were considered as part of the design
Integrated Data On-Demand:
Provision for Integration across Internal & External Systems
Provision to ingest through a varied mechanism like Push, Pull and APIs
Faster Response to Business Issues through Automation of:
Repetitive ad-hoc reporting requirements
Data Preparation Steps
Known Data Quality Remediation
Summarization and Aggregations
Data Traceability & Control
Data lineage & metadata management
Data security & access control
Self-Service BI & Visualization
Right Tools at Disposal for
ETLs of varied complexity
Provision for data exploration & Discovery
Insights from data from newer and varied sources
Brillio leveraged its extensive analytics enablement experience and exhaustive in-house frameworks to perform depth assessment of data, analytics and reporting landscape of an organization to provide a complete view of their ‘As Is’ and ‘To Be’ state and implement detailed roadmap to move up in the data analytics maturity curve.
In-depth assessment of the data, analytics and reporting landscape among other business areas consuming data from data ecosystem focused
Identifying both tactical and strategic issues within the system
Gauge the future readiness of the client’s existing data architecture to support business teams’ requirements.
Defining a roadmap to ensure future-readiness and business adaptability mapped to an organization’s vision.
Implement the data harmonization process across the enterprise
Picked best standards and practices from various business units and geographies to provide a universal approach in terms of operational procedures and data landscape.
Identified varied KPI’s throughout the systems, standardized it and provided a glossary
Business Impact and Benefits
A massive reduction in time to market for insights by 75%
Improved won forecast accuracy by 12%
26 Reports completely automated
Reduced booking leakages by 2%
Moved towards a systematized data approach
Upgradation to insights as a service
Lead to assetization of data
Bestowed the customer with operational agility
Enhanced data literacy across the enterprise
Automated the complete reporting
All the tacit knowledge in the organization has been institutionalized