Enabling the public launch of a client’s geospatial product

Challenge:

Existing mapping products and application programming interfaces are dominated by a few key competitors that control 80% of the market. The client needed a machine learning (ML) and spatial computing infrastructure platform to generate high-quality data and secure the competitiveness of its data-based mapping product.

In parallel, there are multiple production applications (with billions of active users) and research and development (R&D) workstreams (augmented reality/virtual reality products) that depend on this mapping product being of high quality and reliable.

Solution:

Deloitte enabled the launch of the company's "next-step" joint venture to create a competitive open-source product by driving the proof-of-concept work used to unify engineering and product leadership across companies toward the common goal.

The Deloitte-client team deployed ML and spatial computing platforms that process petabytes of satellite imagery and light detection and ranging (LiDAR) scan data weekly, and then generate 2D and 3D digital twins of real locations.

Workshops were facilitated with product and engineering leadership to design key metrics that the team built into dashboards that measure data quality and readiness for upcoming product launches.

Outcome:

The client successfully launched its geospatial open-source mapping product. This is now being integrated into core products with billions of active users and upcoming product launches. The results:

• $20 million investment into the product was successful
• 3 billion+ unique map features to power the mapping product launch
• 160 million+ 3D buildings created from LiDAR, satellite imagery and ML to create digital twins

How we used DEI and research to make a multinational video-sharing platform a safer place

Challenge:

A large online video-sharing platform company needed help building community trust and gaining unique insights into the historically marginalized social media experience through creative research methods.

Solution:

Tasked with creating a foundational framework for understanding the social media experience, our team conducted equity-centered research for the African American and LGBTQIA+ communities on difficult topics of identity and community online.

Outcome:

This work gave executives both a language system to address the social media experience and opportunities to improve the experience for some of the online world’s most vulnerable.

Increasing efficiency and transparency for a large technical services provider

Challenge:

The technical services arm of a multinational tech company was experiencing excessive duplication, limited operational transparency and synergy, and fragmented operations across workflows in its vendor landscape. To remedy the situation, the company was looking to identify opportunities for optimization, validate areas of consolidation, and explore potential efficiency gains.

Solution:

Our team identified the opportunity to streamline about 15% of test requests (leading to enhanced clarity for stakeholders and potential synergies across teams).

Outcome:

The company realized gains in cost effectiveness worth 36% owing to workflow consolidation plus an approximate $2 million potential cost.

This automation pilot helped a virtual assistant application achieve 85% automation

Challenge:

A multinational tech giant sought to mitigate reliance on vendor expertise, lower new vendor barriers, unlock operational efficiencies, and accelerate integrated end-to-end test automation for its virtual assistant application.

Solution:

Deloitte worked with the company to deliver an automation pilot that laid the foundation for its test automation strategic goals.

Outcome:

The result streamlined the application’s footprint with a 70% reduction in the number of resources needed to run the tests when replacing manual test cases with automated ones. This led to:

• 85% automation of total test cases
  
• 65% reduction in total hours required to execute regression test suites (manual vs. automation)

Enabling a seamless customer experience and reducing technical debt

Challenge:

A large MSO client acquired two enterprises with varied technology ecosystems. An effort to consolidate and streamline was underway to improve its digital footprint, enable seamless customer experience and reduce technical debt.

Solution:

Deloitte ramped up 50+ engineers from the United States and India to provide program oversight and testing of the consolidated digital platform that included customer- and agent-facing apps / portal. Specialist software quality assurance engineers performed authoring, automation, testing and deployment activities to help ensure smooth operation across three technology ecosystems. Project results included:

• 50+ engineers teamed up for a multiyear engagement
• 95% release schedule adherence
• Less than 1% product defect leakage

A US-based semiconductor company’s product solution

Challenge:

Our client saw significant transformation with mergers and acquisition activities and needed to accelerate time to market of its broad product portfolio. Its product solution was monolithic, forcing the client to host siloed platforms for each individual software-as-a-service (SaaS) customer. These SaaS customers required unique infrastructure provisioning, leading to higher operational costs and launch delays.

Solution:

Our team designed a fully automated and scalable cloud-ready, platform-agnostic framework covering 10+ Kubernetes/operator-based managed service solutions. This solution also included fully automated DevOps continuous integration and continuous delivery (CI/CD) pipelines with a shift-left approach for deploying artifacts in Google Kubernetes Engine and Google Compute Engine

• 10+ enterprise products modernized and onboarded
• 8M+ customers migrated to one unified shared services program
• 30% reduction in effort with efficiency improvement

The largest online video platform secures user data

Challenge:

Due to continued regulatory pressures, a client needed to demonstrate the ability to secure and manage user data regionally while developing and maintaining a platform separate from nonregional instances. The company wanted to use existing platforms and technologies as the foundation for its new customer data platform.

Solution:

Our team ramped up 100 US engineers to develop a future instance of the platform, separate from other markets, that meets regulatory and compliance requirements. The US-based platform will serve as the basis for other potential future platforms as the client expands. Project metrics included:

• 100 engineers ramped up in only three months
• 100% release schedule adherence
• Less than 2% defect rates for development

Outcome:

Enhanced customer experiences and automation implemented to enhance service line agreements.

An information product company reimagines support models

Challenge:

A leading information product company has several products in the tax, legal and risk spaces that serve both corporate and individual clients. The company embarked on a journey to enhance end-user support—and reduce subpar experiences that were due to a lack of communication channels, lack of collaboration with client teams, and nondefined support service level agreements (SLAs). Deloitte helped transform the support model to enhance client acquisition, retention and experience.

Solution:

Deloitte onboarded and trained teams on the client's products, with the teams fully operational within three months. We imagined and implemented a support model with the right set of SLAs, focused on response times and issue resolution for end users. We built an automation layer for analyzing and resolving repetitive, low-touch incidents. We also created an omnichannel experience that standardized and simplified the client support tool set.