Areas of Interest
Content Type
Industries
- Aerospace and defense
- Banking, Financial Services, and Insurance
- Energy and Resources
- Federal Government
- Healthcare and life sciences
- High-tech and telecommunications
- Higher Education
- Media and entertainment
- Private equity
- Public Sector
- Retail and manufacturing
- Social Impact Institutions
- Travel and transportation
Technologies
- Artificial Intelligence
- Automation
- Blockchain
- Business and data analytics
- Cloud
- Customer relationship management (CRM)
- Cybersecurity
- Digital Services
- Enterprise resource planning (ERP)
- Human capital management (HCM)
- Internet Of Things
- Machine Learning
- Networking
- Supply chain management (SCM)
- Virtual reality/Augmented reality
Areas of Interest
Latest Reports
Rightsizing ERP Support Staffing
Rightsizing the support staff for an ERP system can be difficult. This is because many factors affect the support staffing ratio. These include the type of ERP system, its age, the extent of modification, and the industry sector. Nevertheless, understanding support requirements for ERP systems is vital for IT leaders. This research byte summarizes our full report on ERP support staffing ratios.
SAP S/4HANA: Reducing Time to Market Through Industry-Specific Solutions and Generative AI Capabilities
Migrating to SAP S/4HANA presents a challenge for enterprises encompassing multiple business processes across the value chain, intricate data structures, and several customizations. Current macroeconomic headwinds have made this transition more complex as customers reassess their SAP S/4HANA implementation strategies to develop a cost-optimal road map and seek quick ROI on their IT investments. Service providers are also addressing these trends, reducing time to market for clients through industry-specific solutions with preconfigured process workflows. They have also invested in generative AI solutions to strengthen horizontal capabilities, such as testing and documentation.
SAP S/4HANA Services 2023–2024 Market Insights™
The SAP S/4HANA Services 2023–2024 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any SAP S/4HANA migration projects. The report also highlights key challenges that enterprises face.
SAP S/4HANA Services 2023–2024 RadarView™
The SAP S/4HANA Services 2023–2024 RadarView™ assists organizations in identifying strategic partners for adopting SAP S/4HANA by offering detailed capability and experience analyses for service providers. It provides a 360-degree view of key SAP S/4HANA service providers across practice maturity, partner ecosystem, and investments and innovation to help enterprises identify the appropriate service partner. The 77-page report also highlights the top supply-side trends in the SAP S/4HANA services space and Avasant’s viewpoint.
Residual Value Forecast January 2024
Our quarterly Residual Value Forecast (RVF) report provides forecasts for the following categories of IT equipment: desktop computers, laptops, network equipment, printers, servers, storage devices, and other IT equipment. It also includes residual values for other non-IT equipment in the following categories: copiers, material handling equipment (forklifts), mail equipment, medical equipment, test equipment, and miscellaneous equipment such as manufacturing machinery and NC machines. Residual Value Forecasts are provided for five years for end-user, wholesale, and orderly liquidation values (OLV) prices.
Striking a Balance with Low-Code/No-Code Platforms
Low-Code/No-Code (LC/NC) platforms are becoming increasingly popular in enterprise software development. They enable non-technical users and citizen developers to quickly create software applications with little to no manual coding. However, LC/NC tools are not just meant for personnel outside of the IT organization. They are also incredibly useful for professional developers. This Research Byte is a summary of our full report, which covers LC/NC adoption and investment trends along with the economic experience and overall satisfaction rates for LC/NC platforms.
Low-Code/No-Code Adoption Trends and Customer Experience 2024
Low-Code/No-Code (LC/NC) platforms are becoming increasingly popular in enterprise software development. LC/NC enables non-technical users and citizen developers to quickly create software applications with little to no manual coding. Using a visual drag-and-drop interface, pre-built components, and templates, LC/NC platforms allow users to create applications without requiring a high level of coding knowledge. This capability is invaluable for companies of all sizes because it lowers development costs, speeds up development, and improves agility.
Generative AI Commands C-Suite Leadership
In this, our first survey-based report on generative AI strategy, spending, and adoption, we provide metrics on how much enterprises are spending on this ground-breaking technology, where they are spending it, and how they are governing it. Given the hype, it is not surprising that our survey respondents rank generative AI as strategically important to their organizations. In fact, it is so important that the C-suite is typically leading the effort. This research byte is a brief description of some of the findings of our eight-chapter report on Generative AI Strategy, Spending, and Adoption Metrics.
Vendor Discount Report January 2024
The largest and best discounts are often only offered to the vendors’ best customers, and buyers may find it difficult to determine whether the discount offered is typical or whether a better deal can be negotiated. The Vendor Discounts Report is designed to give procurement personnel, lessors, lessees, and departmental manager’s insight and guidance regarding current discount structures on a variety of categories of equipment in the marketplace.
Generative AI Strategy, Spending, and Adoption Metrics 2024: Chapter 8: IT Services and Solutions Sector Benchmarks
This chapter provides generative AI metrics for the IT services and solutions sector. It features a sample of 55 IT services and solutions companies including software companies, hardware companies, cloud providers, and tech consultants. It includes metrics on how much enterprises are spending on generative AI, where they are spending it, and how they are governing it.
