With TBR’s Digital Transformation market and competitive intelligence research, gain insight into how technology and services firms are investing, going to market, partnering and more as they help enterprises transition to digital solutions.
Learn how IT and business buyers approach digital applications, platforms and services within the context of disruptive market trends and emerging opportunities. Additionally, examine and dissect IT vendors’ ecosystem management as well as investments, performance and go-to-market strategies in both mature and emerging areas, including blockchain, Industrial IoT, analytics, customer experience and innovation centers, and cloud.
A free trial of TBR’s Insights Center platform gives you access to our entire Digital Transformation research portfolio and the ability to customize and curate reports detailing our analysis based on your company’s specific needs. Start your free trial today!
Trends we’re watching in 2024:
TBR’s Digital Transformation benchmark research provides clients a comparison of vendor performance in a market, including analysis on vendor strategies, financial performance, go-to-market and resource management. The research graphically portrays comparisons of vendors by myriad metrics, calling out leaders, laggards and business models.
Digital Transformation: Analytics Professional Services Benchmark
Digital Transformation: Digital Marketing Services Benchmark
Digital Transformation customer research decodes and provides customers’ true perceptions of vendors as well as follows the opportunity shift from legacy to emerging technologies and platforms.
Digital Transformation: Voice of the Customer Research
Ecosystem reports compile data and analysis from multiple streams of TBR coverage to assess, quantify and model revenues, team compositions, go-to-market strategies and other qualitative insights, including accreditation and training of sell-through and sell-with partnerships, channels or alliances across global ICT markets.
Adobe & Salesforce Ecosystem Report
Cloud Ecosystem Report
SAP, Oracle and Workday Ecosystem Report
Voice of the Partner Ecosystem Report
Digital Transformation market landscape research includes analysis of an emerging or disruptive market segment or technology, including insight into how vendors and customers address the emerging technology as well as market sizing, vendor positioning, strategies, acquisitions, alliances and customer adoption trends.
Digital Commerce Market Landscape
Given the maturity of cloud adoption today, DT programs are evolving and the need for industry-based configurations has risen drastically as adopters pursue custom outcomes set against their industry backdrop. As such, the nuanced nature of industry-based requirements and compliance standards that mature enterprises must adhere to across industries such as financial services, healthcare and government, require vertically tailored offerings. As a result, technology vendor investments around industry-based cloud have accelerated in the last couple of years.
Regardless of new trends and opportunities, vendors must address legacy operations levers including people and partners in order to successfully develop and execute on the new processes needed to deliver more personalized experiences to end consumers. As the most mature digital transformation component, customer experience has compelled buyers to embark on omnichannel projects to unify insights and processes across the customer life cycle for years now, and vendors have plenty of use cases to rely on, especially as new environments such as the metaverse provide another dimension of the virtual user experience.
A deep dive into Informatica’s ChatGTP for enterprise data, CLAIRE GTP, and how the vendor is using GenAI to improve underlying platform capabilities and deliver a unified natural language experience in IDMC.
Supatman via Canva Pro
Databricks Pivots Around Data Intelligence to Address GenAI Use Cases
/by Catie Merrill, Senior AnalystJust like it did with the data lakehouse five years ago, Databricks is establishing another paradigm with data intelligence, which has the data lakehouse architecture at its core but is infused with generative AI (GenAI). Data intelligence was a key theme throughout Databricks Data & AI Summit and signals Databricks’ intentions to further democratize AI and ultimately help every company become an AI company.