Building new Data Platforms

Amadeus is powering up its own data platforms as well as those of its customers and partners with infrastructure, data, and shared capabilities. This includes adopting a 'data mesh' approach to enable a trusted data exchange network and maximize the value of data across the company.

Developing a fully in-housed, cloud-based data solution that brings together loyalty, ecommerce and clinical data to create a comprehensive customer profile and enable more personalized experiences.

Structural investments are directed towards building unified technology platforms across divisions with a highlight on the Development of version 2.0 of the Digital Learning Platform and the establishment of a consolidated data platform integrating Snowflake technology.

SCOR plans to deploy a data centricity strategy through 5 pillars - a unique data platform, enhanced AI capabilities, rigorous governance, an agile scaling approach, and effective change management - to foster value creation.

Axis Bank is moving beyond analytical models to data engineering with its Data Architecture 3.0, which integrates alternate and unconventional data sources to enable risk-moderated growth. This includes developing a scalable data platform and leveraging advanced analytics and machine learning.

Health Catalyst has made a meaningful investment in the next generation of its data platform software, allowing for significant increases in its scalability and modularity. The company anticipates this investment will enable best-in-class technology to support existing client relationships and prospective client sales processes, while also supporting technology gross margin expansion.

WEX is modernizing its data platform while introducing experimentation at scale to accelerate the pace at which it can process and present data to enable data-driven decisions for both employees and customers, and is integrating AI capabilities across its activities.

Leverage partnerships with hyperscalers like AWS, Microsoft, and Salesforce to accelerate digital, data, and technology transformation. This includes deploying generative AI solutions, modernizing internal systems, and enabling more efficient and effective service delivery.

Europris is building a new data warehouse platform, a process that will continue over the coming years. This will provide Europris with a more modern technological foundation and flexibility for additional functionality.

Investment in a customer data platform will be part of the company's e-commerce strategy, designed to provide a single view of the consumer, thereby improving personalization and marketing capabilities. This is in line with the broader technology implementation strategy.

Accenture is working with clients to build strong data and AI foundations, including migrating data to the cloud, implementing modern data platforms, and deploying AI and machine learning solutions. This is seen as a critical enabler for clients to leverage emerging technologies like generative AI.

Danske Bank intends to strengthen its data platform, connecting data across the enterprise, and leverage cloud-based AI capabilities to provide proactive, targeted digital advice and faster time to insights for its customers and advisors.

The development of advanced data handling capabilities and CRM platforms underpins the Group's strategy to enhance customer retention and cross-selling. The proprietary ‘Dialogue’ platform is an example, designed to accelerate the pace of customer inquiries.

Prudential aims to build a strong technology platform that can quickly adopt new market innovations and engage with partners' ecosystems in a seamless manner. This will involve a data platform with generative AI and data analytics, and a refreshed operating model with greater collaboration between the central technology team and local markets.

Balfour Beatty has established a secure, central data repository called the 'data lake' that contains billions of data points from across the company. This data lake powers their digital toolset and allows them to generate real-time data to better manage and deliver their projects.

The company is advancing its data management efforts by establishing data standards and governance. This will enable it to build a relevancy engine for its digital platforms, ensuring that its clients receive the most suitable information and service, enhancing the overall customer experience.

ICE uses integrated platforms to capture, store and process information, perform analytics and maintain connectivity solutions using a single configurable data capture mechanism and flexible delivery capability. This enables real-time processing and delivery of information, accelerates new product development and improves production reliability.

Acadia is building a quality data platform and leveraging predictive analytics to monitor progress on its quality initiatives, which focus on providing industry-leading care, supporting employee development, identifying risks and opportunities, and translating best practices into clinical operations.

Leveraging big data analytics is a strategic priority, enabling GCP Infrastructure Investments Limited to make informed investment decisions and optimize the performance of their portfolio through predictive analysis and trend identification.

Prudential aims to transform its underlying technology platform using an open-architecture design that enables quick adoption of new market innovations and seamless engagement with partner ecosystems. This includes developing a data platform to leverage generative AI and data analytics for insights and actions.

Sodexo has built a distributed, GDPR-compliant data platform that integrates more than 180 data sources and delivers 65 data analytics use cases to support better targeting of consumers, reinforcing the merchant network, and improving the merchant journey.

Capita is running a multi-year data management program to improve their data maturity and reduce operational risks. This includes adopting a data governance framework, implementing data lineage tooling, and refreshing data retention practices.

Dell Technologies is creating new cloud platforms with Microsoft, Red Hat, and VMware that bring cloud operating models on-premises, and announced storage for public cloud with AWS and Microsoft that brings enterprise block and file storage capabilities to public cloud.

Enhanced software offering that progresses users' ability to access intelligent device data, with a new Data Server allowing secure extension of device data to outside systems.

Health Catalyst's cloud-based Data Operating System (DOS) platform is secure, scalable, and enables quicker product iteration and innovation. The open and flexible nature of DOS makes it highly scalable, allowing Health Catalyst to deliver additional analytics applications on top of DOS with limited incremental costs.

Implement a unified data hub in the cloud to enable real-time, standardized, and bidirectional API connectivity that accelerates innovation and integration with partners.

Informatica's cloud-based data marketplace that delivers an Amazon-like experience for data consumers, enabling data and analytics leaders to easily democratize and share data and AI models across the organization.

Nationwide is investing in its data architecture and technology to enable it to store, manage and protect personal data more effectively in an evolving digital environment. This includes implementing strategic solutions and improving data quality and processes to enhance customer experience and reduce the likelihood of data breaches.

Enhanced data analytics capabilities are being developed to leverage big data for strategic decision-making. The company is creating advanced analytic tools to better understand customer behavior and market trends.

Tabcorp is deploying an enterprise data platform in Q3 FY24 to provide advanced analytics and insights, improving customer engagement through data analytics and more personalized experiences.

Volvo Cars is implementing a new data strategy blueprint based on a data-driven approach, establishing data hubs and making business functions accountable for data. This aims to enhance data-driven decision-making and enable further exploration of advanced analytics like Generative AI.

Recognizing the vital role of data centers for AI and server needs, the company underlines the importance of data centers as a foundational element for supporting advancing technology.

Datadog intends to invest in expanding the functionality of its current platform and adding capabilities that address new market opportunities. The company has a history of continued innovation and plans to expand its technology leadership through these investments.

The group prioritizes building out its service Platforms which are clusters of complementary Group services that present a broader and more compelling offering to clients, allowing Gateley to present a comprehensive suite of services.

Heineken leverages a Global Data Lake on a Cloud Platform, engaging AI to create a range of products. These AI-driven solutions, from revenue management to predictive maintenance, notably include an AI-powered Product Recommender piloted in France, which yielded a 2-3% sales uplift.

Inchcape's data analytics platform that leverages data and machine learning to drive smarter, faster and better business decisions, including for sales and operations planning, pricing, and inventory management.

Informatica continues to invest in its strategic partnerships with cloud hyperscalers, cloud data platforms, global system integrators, and value-added resellers and distributors to extend the reach of its go-to-market strategy and accelerate the adoption of its AI-powered data management cloud platform.

Kin and Carta is building a Data Center of Excellence for a major US automotive manufacturer, focused on data foundations, governance, a centralized data store, and Kin and Carta's differentiating approach to Data as a Product Solution.

Leonardo is developing a prototype of a Big Data framework that can leverage the computing power of the davinci-1 supercomputer to enable data analysis and extraction of information for different use cases across the company's divisions.

The organization places a strong emphasis on the scalability and modernization of its technology platforms. Through ongoing improvements and investment in new tools, they aim to enhance personalization and efficiency, which is poised to raise customer engagement and drive revenue growth.

The company plans to continue expanding digital products, processes, and services aimed at enabling better moving experiences. This may involve further utilisation of cloud technologies and handling large data sets.

Vertu Motors has invested in building a comprehensive data warehouse and customer data platform (CDP) to provide a 'single version of truth' for the business. This will enable enhanced data analytics, business intelligence, and efficiency within finance functions. The CDP will also power use cases for customer follow-up in service and sales to increase personalisation, targeting and marketing ROI.

Datadog intends to invest in expanding the functionality of its current platform and adding new capabilities to address new market opportunities. The company has a history of continued innovation and plans to develop new products and features to drive customer value and adoption. Key metrics include new product launches, growth in product usage, and expansion of the company's technology leadership.

Diaceutics is focused on driving accelerated investment in its platform technology and proprietary data assets. In H1 2023, significant capital was allocated to platform development and data expenditure to support rapid growth and scalability, enhancing the company's data repository through expanded geographical and disease coverage.

Health Catalyst's DOS platform has registries, value sets, and other data logic that sit on top of raw data and can be accessed, reused, and updated through open APIs, enabling client and third-party application development. This reusable healthcare data content enables clients to achieve analytic value more quickly.

Nutanix introduced GPT-in-a-Box, a full-stack software-defined AI-ready platform with services to help customers deploy and run generative AI workloads while maintaining control of their data and applications.

Nutanix provides a platform to help customers modernize their IT infrastructure, including running traditional and cloud-native applications, as well as AI/ML workloads, on a unified platform.

AIB is enhancing its data and analytics capabilities to support better decision-making and customer insights. This includes scaling cloud capabilities and tooling to accelerate the availability of data-driven insights and establish next-generation data capabilities.

A comprehensive data analytics program is being implemented to leverage big data. The aim is to tailor customer experiences, optimize operations, and inform strategic decisions through insights derived from advanced analytics tools.

Capital One has modernized its data ecosystem to enable more effective use of data and machine learning models to identify growth opportunities and create more customized solutions for customers.

Centene is accelerating the build-out of an integrated data fabric across the organization to support its long-term technology strategy. This includes leveraging modern technology to account for the deployment of traditional and generative AI to automate administration, support provider collaboration, and optimize clinical insights.

Cloudera aims to drive rapid adoption of its cloud-based data platform, enabling customers to seamlessly migrate their on-premises data workloads to the cloud and leverage the scalability, flexibility, and cost-effectiveness of cloud infrastructure. This is a key strategic priority to maintain Cloudera's competitiveness in the evolving data management landscape.

The company employs a 'Buy, Build & Grow' model, aiming to invest in and expand medium-sized, cash-generating digital infrastructure platforms. This model is reliant on a strong in-house team capable of driving post-investment operational improvements and growth, reflecting the emphasis on acquiring platforms with potential for value creation.

To make data-driven decisions, Dignity is investing in advanced data analytics tools. These tools will help in understanding market trends, customer behavior, and operational performance, ultimately contributing to strategic planning and resource allocation.

Equifax is executing a cloud data and technology transformation that is rebuilding its technology infrastructure, including a migration to a public cloud environment that employs virtual private cloud deployment techniques. This is enabling the continued development of a single data fabric, a cloud native platform that enables Equifax to build, manage and deploy data products, as well as implementation of best-in-class cloud-based tools and capabilities.

The group is committed to leveraging technology and data to rebuild competitive advantages, which includes enhancing their data infrastructure for better operational decision-making and new lead opportunities.

The company plans to invest in advanced data analytics and business intelligence tools. These investments are aimed at better understanding customer behavior, improving service delivery, and driving data-driven decision-making across the organization.

Man Group identifies its platform enabling data collection, analysis, systematic alpha extraction, and efficient execution as a key competitive advantage. The goal is to further invest in and evolve this technological infrastructure to stay ahead of industry developments.

Develop and manage new adjacent network capabilities, such as open banking and digital identity solutions, to power commerce and payments and create new opportunities to develop and embed services.

Pure Storage aims to increase its relevance and opportunities with the world's largest technology companies and further leverage its leadership position to accelerate the drive to the All-Flash data center, targeting both hyperscaler and enterprise customers.

Skanska has developed a clear data strategy to select and prioritize the technology and platforms used across the group, enabling data sharing and standardization of processes across units and regions.

Transition to a platforms operating model to streamline internal processes, drive higher efficiency and further enhance resiliency and risk management. Embrace new technologies and prioritize resilience to improve productivity and focus on growth.

Barclays is enhancing its data management and analytics capabilities to better understand customer needs, improve decision-making, and deliver more personalized products and services. This includes investing in data infrastructure, advanced analytics, and AI/ML technologies.

Continental is focusing on moving intelligence from digital clusters to a centralized high-performance computing space, which manages user experience and hardware manufacturing within the company's architecture and network business area.

Exela's data modernization solutions enable clients' data to be cloud ready. In cases where clients are cloud ready, Reaktr.ai is able to advise on the right solutions and to undertake the transition and subsequent management of the digital data. All of these solutions are complemented by AI-powered platforms.

Infosys is helping enterprises get their data ready for AI and generative AI by structuring, accessing and assimilating data in a way that enables large language models and foundation models to work effectively and deliver business impact.

Jabil is investing in data center infrastructure services, liquid cooling, and silicon photonics to help its customers solve challenges related to the surge of AI and ML, including insufficient power supply, increased heat generation, and enhanced data interconnections between racks.

LSEG is modernizing its data sourcing, ingestion, and distribution capabilities by consolidating its datasets onto a flexible infrastructure powered by Microsoft's Fabric platform. This will enable LSEG to provide enhanced data-as-a-service and data management-as-a-service offerings to its customers.

Data-driven decision-making is being prioritized, with investments in advanced analytics tools to better understand customer behavior and market trends.

MongoDB expanded its analytics capabilities with the introduction of Atlas Data Federation and Atlas Data Lake Storage, which allow customers to ingest, transform and query large volumes of data to provide greater insights from data generated by applications on Atlas.

Palo Alto Networks aims to make its network security, cloud security, and security operations platforms as comprehensive and widely adopted as possible. This involves expanding the capabilities of each platform, integrating them more tightly, and driving greater consolidation and standardization among customers to reduce vendor sprawl and improve security outcomes.

The company might be focusing on expanding their cloud infrastructure to support scalability, resilience, and facilitate remote working environments, ensuring business continuity and data security.

The company utilizes proprietary data systems and comprehensive data collection to monitor performance closely, enabling them to maintain a strong track record and deliver scalable growth. Such systems likely play a critical role in data-driven decision-making and efficiency growth within their technology-focused strategic approach.

As part of its strategic digital priorities, the company is focusing on the expansion of data analytics capabilities to gain deeper insights into market trends and customer behavior, thereby enabling better decision-making and the development of innovative services.

SimCorp is creating a new platform and engineering practice built on industry standard tooling to enhance velocity and output, with expected benefits starting to materialize from Q4 2023.

The bank is strengthening its data management capabilities, including enhancing data governance, improving data quality, and leveraging data analytics to drive better decision-making and risk management. This includes compliance with BCBS 239 requirements.

SBI has built a centralized, silo-less data stack with a central data warehouse integrated with over 80 source systems. The bank is leveraging advanced analytics and AI/ML capabilities to drive value creation, personalized marketing, risk mitigation, and efficient processes.

Leveraging big data analytics and artificial intelligence to gain insights, drive business decisions, and create competitive advantages in product offerings and market strategy.

To support digitization in the industry, Eurowag has developed and acquired data solutions which are essential for customers' operations. As part of the strategy, they are also working on the integration of these solutions, aiming to build a unique and scalable technology platform by FY 2024.

Build scalable technology platforms and infrastructure to drive operational efficiency, cost optimization and reinvestment. This includes initiatives like eBay International Shipping, payments intermediation, and leveraging AI and automation to improve processes across the business.

Zooplus plans to modernize its IT infrastructure to enhance performance and scalability, allowing for better management of increasing data volumes and more sophisticated analytics.

The company acknowledges the crucial role of interoperability for efficient healthcare coordination and has established a comprehensive data lake, investing in new data solutions for improved customer support and optimizing customer centricity.

DoorDash is focused on developing a scalable and efficient technology platform that can support its growing business across multiple verticals and geographies. This includes investments in areas like logistics, selection optimization, and other core platform capabilities.

Juniper Networks is committed to delivering solutions such as Juniper Apstra to streamline network lifecycle automation. They are introducing Experience-First features, including simplified data collection and Terraform-based automated provisioning, making private data centers as agile as cloud infrastructures.

KDDI is developing a large-scale computing infrastructure and platform to accelerate the development of generative AI models by leveraging its telecommunications infrastructure and collaborating with startups. This includes building low-latency, distributed computing environments and domain-specific AI models.

The company is implementing advanced data analytics to drive insights and inform decision-making processes.

MongoDB will continue to press its product advantage in the core database, as the company believes customers will place an even greater premium on performance and scalability in the AI-enabled world. Additionally, MongoDB will continue maturing its newer products, including adding features to Vector Search, generally available release of Atlas Stream Processing, and enhancements to other offerings.

New Relic has built a unified data platform that ingests all telemetry data types and sources, including open standards like OpenTelemetry, at massive scale and high performance. This platform powers New Relic's all-in-one observability experience with a low incremental cost of data.

The company has made advancements in digitizing IT operations processes through the IT Service Model project, aiming to provide global support and improve service levels on new platforms. It has also centralized information into a single Big Data Lake for better data management.

A data management solution that ensures reliable data management during AI training and enables the deployment of cloud-native applications. (Earnings Call Transcript 2024 Q2)

TransUnion is building a hybrid multi-cloud infrastructure foundation called OneDev to standardize common software development utilities, improve developer experience, and rationalize third-party software spend and legacy technology costs across the enterprise.

TransUnion is investing in its technology infrastructure to standardize and streamline its product delivery platforms and build a single global platform for fulfillment of its product lines. This includes leveraging strategic partnerships and a hybrid multi-cloud environment to improve availability, enhance product development capabilities, and lower overall cost structure.

Atea provides data center and network infrastructure solutions that enable organizations to process, store, and distribute information. This includes both on-premise and cloud-based infrastructure, as well as hybrid solutions that integrate the two.

Equifax is investing to simplify customer access to its leading analytical and decisioning platforms, in order to speed the development of unique insights and the conversion of these insights into innovative new products and services consumable by its customers through its delivery platforms.

Health Catalyst's DOS platform has embedded machine learning algorithms that clients can leverage for predictive analytics. Clients can also build their own machine learning data pipelines within DOS.

The HPE GreenLake edge-to-cloud platform is a centerpiece of HPE's strategy, accelerating multi-generation IT transformation through a unified cloud services experience that empowers customers to access, analyze, and extract value from their data across public clouds, data centers, colocation facilities, and at the edge.

The goal for 2024-2025 includes bolstering the 'Cloud-Ready Data Center' solutions. With progress in this area, seen through customer solution revenues, Juniper aims to bank on this growth, strengthening its product portfolio to meet the evolving networking demands, particularly with the increased influence of cloud computing.

Pure Storage will focus on growing its Portworx and cloud-native data services offerings to capitalize on the increasing demand for modern, cloud-based data management solutions across hybrid and multi-cloud environments.

Software AG focuses on creating a digital backbone that integrates applications, devices, data, and clouds to empower streamlined processes and connectivity among sensors, devices, and machines. This infrastructure supports the evolution into a connected enterprise, enabling smarter and faster decision-making.