The ability to move with certainty in a complex market depends on how clearly an organization sees its own operations. When data is scattered across different tools and regions, the path forward becomes obscured by manual effort and conflicting reports. True BI creates a system where information flows from every part of the company, like supply chains and customer service, into one central spot. This ensures everyone is working from the same facts, allowing them to handle surprises today and plan for tomorrow.
The Crux of Modern BI
Business Intelligence is the process of collecting raw information and turning it into a clear guide for action. This framework summarizes the past along with providing the immediate visibility required to manage present-day volatility.
The process involves several specific stages:
- Collection: Gathering information from different areas of the business like supply chains, sales, and customer service.
- Engineering: Building a data foundation layer to manage important metrics across all sites and units.
- Design: Conducting sessions to understand how different people use data to make their daily decisions.
- Automation: Moving away from static reports to automated dashboards that update in real time.
Evolving Trends in BI
The current movement in the industry is toward deeper integration and speed. Organizations are transitioning from basic data tracking to a more responsive model where insights are delivered at the point of need.
- Self-Service Analytics: Modern platforms allow users to generate their own views without waiting for technical support.
- Speed to Insight: Optimization techniques now allow massive datasets to be processed and viewed in under five seconds.
- Predictive Indicators: Systems are being designed to not only show current status but to offer predictions about future trajectories and product performance.
- Standardized Design Systems: Using a unified visual language across all reports prevents misinterpretation and ensures brand cohesion.
Standardizing Visual Language: Media Industry Case Study
A leading Media company sought to improve its user experience and standardize brand design. The organization worked to move away from inconsistent data visualizations and disjointed user interactions that could lead to misunderstandings.
We designed a system and catalog using Power BI. The solution provided an extensive gallery of reusable templates and layouts with a focus on usability. The team performed a design audit and evaluation of every page while segmenting components into categories.
Value Delivered:
- Design standards and templates were utilized across 4+ client deliveries.
- 10+ new projects were successfully delivered in a short timeframe.
- A 12-grid responsive layout pattern was enabled to support future needs.
- Header and filter sections were standardized across various layout patterns.
- A streamlined visual experience was achieved across various chart types including bars, bubbles, and waterfalls.
Supply Chain Efficiency: Food and Beverage Case Study
An American food conglomerate partnered with us and sought to improve its supply chain functions, which were previously tracked using siloed tools. The lack of a central hub made it difficult to take timely actions or monitor metrics from different sources.
Our team built a Central Customer Service Hub by combining the strengths of Power BI and a web application. This platform included business logic for alerts and a tailored homepage. The team optimized the reports so that dashboards could be accessed in less than five seconds.
Value Delivered:
- A 10% efficiency gain was realized by reducing complexity in the reporting process.
- A centralized dashboard tracks all supply chain metrics and provides suggestions for the next best action.
- The sustainability team gained a one-stop visual representation of key operational drivers.
- Potential savings were determined through added functionalities and actionable insights.
End-to-End Visibility: Global Manufacturing Case Study
A global manufacturer sought full visibility across the supply chain, including the Plan, Source, Make, and Deliver stages. The organization worked to address inconsistent data quality and a reliance on manual extraction.
We created a Data Foundation layer to manage critical supply chain metrics across all business units. The team conducted workshops to prioritize metrics based on business value and implementation complexity.
Value Delivered:
- Eight flagship metrics were identified along with their relevant operating levers.
- An all-inclusive dashboard was created to monitor 30 level-1 and 50 level-2 metrics.
- Contextual insights enabled a deeper understanding of factors that improve customer service.
- Data scalability and governance were improved to provide reliable analytics and insights.
The Path Forward
Tiger Analytics is a global leader in AI and analytics, helping companies solve their most difficult challenges. We help fortune 500 and 1000 companies meet their business goals, we provide the certainty required for better decision-making.
The technology used in these solutions includes:
- Planning: Miro Board.
- Design: Adobe Creative Suite.
- Data Storage: Snowflake, SQL, and Data Lakes.
- Platform: Power BI, Azure, and AWS.
- Applications: React and NodeJS.
By focusing on the rigorous organization of data and user-focused design, enterprises can move from simply viewing reports to enabling better decisions.
To see how these principles apply to your specific operational challenges, you can explore our full range of perspectives or reach out to us directly through our contact page to start a conversation about your data objectives.
