We help deploy analytics capabilities for monetization
Successful data monetization requires a robust, reliable and holistic data foundation. This encompasses cloud data-lakes that contain all necessary internal and external data, as well as powerful visualization platforms to help analyze the data specifically for monetization.
Visualized Insight to Improve Accessibility
Traditionally, data has been structured and alphanumeric, making it difficult to read and understand for employees unfamiliar with data analysis. It also doesn’t tell us the complete story. We remove this barrier by implementing data visualization platforms, such as with our partner Looker.
Platforms like Looker convert alphanumeric plain text data into visually pleasing graphs and charts, lowering the barrier of entry for non-technical professionals. In short, the need for highly trained data professionals is reduced, allowing any employee in any department to generate insights for your business. This is an example of converting data to operational efficiencies by increasing enterprise-wide accessibility to insights.
Orchestrating Multi-Cloud Data Analytics
Platform-agnostic data analytics solutions are essential when using a multi-cloud deployment. Without orchestration, the result is data siloes that limit the velocity and quantity of insight generation. Our partner Tableau is fully cloud agnostic, supporting Amazon Redshift, Google BigQuery, Microsoft Azure SQL, and Snowflake. These platforms are incredibly popular, and by leveraging Tableau with our data monetization services, we can help you to generate data revenue regardless of which cloud provider you use.
The value of your data is dependent on your level of data maturity. By storing large quantities of redundant data, your business is wasting money on data storage while simultaneously decreasing the validity and relevance of insights.
If you want to monetize and generate data revenue, the value will improve if you regularly cleanse your datasets. Trianz experts can help you to remove inaccuracies and duplicate entries, as well as to populate incomplete data fields that improve the quality of your stored data.
Democratization and Data as a Service
Sometimes simply providing data and visualization enablers to specialists in products and services creates the path to monetization. When different departments use different tools to achieve business objectives, data siloes are created that prevent unified and holistic views.
While specialized software can be beneficial, a unified platform significantly improves enterprise-wide accessibility to data. Software packages may use proprietary data formatting or offer limited support for exporting and importing, or lack integration with other business services. These all greatly reduce your data agility.
Orchestrating the transformation with Trianz
Customer Value and Competitive Research
Understanding changing customer behavior and priorities, and the competitive landscape, are essential to data monetization. Trianz has access to one of the world’s largest databases on digital transformation, in the form of Trasers , and we carry in-depth custom research capabilities. This allows us to uncover emerging customer needs and competitive trends, comparing them to your offerings to identify new opportunities through data.
Monetization Analytics Implementations
While there are different types of business analytics, monetization analytics helps drive a focus on leveraging data for direct, business model, product-service improvement or embedded analytics-based monetization opportunities. We help clients extract insights to generate data revenue across customer relationship management (CRM) platforms, social media analytics, sales and distribution, marketing, service, and finance. Our approach includes data science, data mining, and predictive analytics, helping you convert data into operational efficiencies and creating a competitive advantage for your business.
Through monetization analytics, we help discover the possibilities and classify them into direct monetization, new business models, product-service improvements and embedded analytics for cross-sell. Analytics of product, service, customers, channels, sales and marketing data helps us uncover the entire lineage of such opportunities, and leads us to strategies and actions for monetization. We provide our clients a ‘tree-of-monetization opportunity’ from which leadership can prioritize opportunities for near-term gains or strategic opportunities.
Managed Data Monetization Operations
It is one thing to view data monetization as a project, and it is a whole other level of maturity to continuously mine data for monetization opportunities. The latter requires continuous monitoring and cleansing of data and the implementation of specific flags, alerts, and reports in data-lakes to identify new opportunities. Our data scientists and engineers will be your extended arm for data mining and identification of opportunities.