As CXO, you often encounter the questions WHO-WHAT-HOW when it comes to Big Data monetization? Within a uncertain and complex business environment, understanding these complex relationships, linkages, options, key fixes, structures, and different spatial arrangements becomes the crux of strategy which can aptly use frameworks and concepts rather than formulae (which deal with certainty and solutions) and recipes (tried and tested processes).Generate strategic options and make a choice based on evidence and data.
Your firm will have a sustained advantage or uniqueness in a business model, when it is implementing a value-creating strategy not simultaneously being implemented by any current or potential competitors and when these other firms are unable to duplicate the benefits of this strategy.Finding unique opportunities and solutions is about imagination, insights, foresights, and the capability to pursue it.
Are you ready to invest in big data technologies to provide you the insights and foresights? Don't know where to start first?
Try Tungsten Information Management.At Tungsten, we specialise in helping you find the right questions and the right answers. We are a vendor-neutral big data, advanced analytics technology services and products firm and can help your firm deploy vendor-neutral technologies and monetize your big data at scale. At Tungsten, we help you build systems that provide the insights and foresights thereby helping your firm build the competitive advantage.Big Data Monetization use cases include strategic and operational monetization. Check out these use cases that enable you to make informed decisions on big data monetization projects:
Use Cases:
- Move Traditional Enterprise Data Warehouses To Big Data Platforms
a. Significantly reduce IT TCO and dramatically increase application performance
- Build Big Data Management and Integration Platforms / Appliances
a. Easily manage and integrate big data with low TCO vendor neutral technologies And Speed Time To Know Your Customer
- Gain 360 View Of The Customer Across Various Touch Points
a. Predict What Your Customer Will Do Next, Act To Monetize Advanced Analytics Information And Create Significant Competitive Advantage
- Create New Revenue Paths Using Big Data
a. Identify, validate and execute to create new high value service or product offering[s] to customers and dramatically increase revenue growth
Case studies
Monetization Through Improved Targeted Marketing - Fortune 500 company, crafted and executed big data strategy to improve digital marketing effectiveness.
Monetization Through Improved Ad Placement Relevance: Fortune 500 company, crafted and executed big data strategy to increase Ad revenues by 10-15%.
Monetization Through Big Data Management Platforms: Fortune 500 company created and executed Big Data IT strategy to process 5 TB / Day with TCO of 3-5 AUS $ / Hr.
Monetization Through IT optimization: Fortune 500 Company significantly reduced IT costs and increased customer focused applications performance by moving traditional enterprise data silo's onto a Big Data Platform.
Within a uncertain and complex business environment, understanding these complex relationships, linkages, options, key fixes, structures, and different spatial arrangements becomes the crux of strategy which can aptly use frameworks and concepts rather than formulae (which deal with certainty and solutions) and recipes (tried and tested processes).Generate strategic options and take strategic decisions based on evidence and data.
At Tungsten, we help you build systems that provide the insights and foresights thereby helping your firm build the competitive advantage.
Big Data Strategy and Training
Before investing into Big Data technologies and solutions, we help senior leadership define monetization use cases from business needs, data and analytics requirements across various organizational units to chart the path for big data monetization and competitive advantage.
The business and organizational units are aligned to the benefits and use cases that they need now, with a clear path charted for big data driven revenue growth and customer value creation. In addition to the technology that enables the monetization use cases, the Big Data roadmap includes technology and resource gap analysis, to identify big data training and resource supplementation requirements.
Case studies
Monetization Through Improved Targeted Marketing - Fortune 500 company, crafted and executed big data strategy to improve digital marketing effectiveness.
Monetization Through Improved Ad Placement Relevance: Fortune 500 company, crafted and executed big data strategy to increase Ad revenues by 10-15%.
Monetization Through Big Data Management Platforms: Fortune 500 company created and executed Big Data IT strategy to process 5 TB / Day with TCO of 3 -5 AUS $ / Hr.
Monetization Through IT optimization: Fortune 500 Company significantly reduced IT costs and increased customer focused applications performance by moving traditional enterprise data silo's onto a Big Data Platform.
Big Data Platforms
Exploring the art of possible with Big Data from internal and external data sources is the first step towards managing the volume, velocity, variety and veracity of the data associated with business processes. Enabling big data technologies and platforms require mapping data current and future requirements to analytic and monetization needs and building big data CRM data bases and vendor neutral technologies to support the business requirements.
Vendor neutral open source big data platforms and appliances built by Tungsten provide a high speed analytic and data management environment with scalability, security and agility for your big data needs.
Case studies
Monetization Through Big Data Management Platforms: Fortune 500 company created and executed Big Data Management Platform solution to process 5 TB / Day with TCO of 3 -5 AUS $ / Hr.
Monetization Through IT optimization: Fortune 500 Company significantly reduced IT costs and increased customer focused applications performance by moving traditional enterprise data silo's onto a Big Data Platform.
Advanced Analytics
Going from data to dollars or big data monetization, is enabled by use case specific advanced analytics techniques, methods and models. Charting the monetization use cases, gathering the relevant data from internal and external sources is the starting point to accelerate analytics time to value. Expertise and know how in the advanced analytics space to enable business leaders to predict, measure and act real time is a game changer for companies trying to build competitive advantage.
The art of extracting information from big data that is relevant, actionable and measurable is often overlooked. Tungsten's proprietary sense and respond approach, provides a scalable path for big data monetization through advanced analytics techniques - predictive, prescriptive and real time analytics.
Case studies
Monetization Through Improved Targeted Marketing - Fortune 500 company, crafted and executed advanced analytics solutions to improve digital marketing effectiveness.
Monetization Through Improved Ad Placement Relevance: Fortune 500 company, crafted and executed advanced analytics solutions to increase Ad revenues by 10-15%.
Visualization and Automation
In addition to the big data strategy, big data technology platforms and advanced analytics methods, the final frontier and differentiator for building competitive advantage, is the ability for business managers, leaders and partners to measure, monitor and act, collaboratively and securely, with predictive, prescriptive and real time technologies. Tungsten has created a rich technology partner ecosystem to build, deploy and scale big data decision platforms, including visualization, automation and encryption technologies.
The solutions enable enterprises to seamlessly collaborate with security and make decisions with advanced analytics to monetize big data at scale. To learn more about our big data decision platforms, visualization and automation solutions, contact us.
Case studies
Monetization Through Improved Targeted Marketing - Fortune 500 company, incorporated vendor neutral big data decision platforms to improve digital marketing effectiveness.
Monetization Through Improved Ad Placement Relevance: Fortune 500 company, incorporated vendor neutral decision platforms to increase Ad revenues by 10-15%.
