Introduction:
In the modern world, humans generate an enormous amount of data, reaching nearly five quintillion bytes daily. To derive value from this data, organizations must efficiently collect and analyze it. Data-driven intelligence has emerged as a reliable method, providing accurate predictions and insights compared to intuition-based decision-making, which can be time-consuming and inefficient. While the business side has embraced data-driven intelligence with remarkable use cases, its application within the realm of IT infrastructure and platforms remains limited across industries. Thankfully, more organizations are recognizing the advantages of adopting a data-driven approach to achieve a digital, agile, user-centric, and resilient IT infrastructure. The following graphic illustrates some of the outcomes that customers can achieve through this approach.
Teams working independently in organizations hinder the full utilization of data intelligence. However, some companies are recognizing the benefits of machine learning, data science, pattern identification, and data intelligence in IT infrastructure. This realization is largely due to the convenient access provided by cloud-native technologies.
Embracing Data-Driven Intelligence Across the Digital Foundation
Looking ahead to 2024, Gartner forecasts a significant rise in the operationalization of artificial intelligence (AI) within enterprises. This shift is expected to drive a five-fold increase in data streaming and analytics infrastructure, affirming the strategic choices made by IT leaders to embrace a data-driven approach to business. However, while data has emerged as a crucial factor for success, the strategic integration of data intelligence as a competitive differentiator remains lacking. When effectively managed, data intelligence holds the potential to deliver remarkable outcomes and facilitate comprehensive improvements in infrastructure services. Let's explore the key focus areas and examples that illustrate the significance of a data-driven digital foundation for enterprises.
Talent intelligence
In any enterprise, talent plays a crucial role in achieving success. Talent intelligence is vital as it helps measure productivity, collaboration, stack ranking, and overall employee satisfaction. These factors are essential for skill development and improving employee retention, contributing to the overall growth and success of the organization
Experience intelligence
It’s utilizes employee analytics, workplace data, and sentiment analysis to enhance employee experiences. By gathering data from various sources like surveys, chatbots, and real-time tracking, enterprises gain valuable insights to make informed decisions. This enables them to strengthen employee engagement and morale, resulting in more rewarding experiences for their workforce.
Operations intelligence
It’s utilizes operational data, such as performance metrics, quality metrics, and KPIs, to gain valuable insights for enhancing operational efficiency. By analyzing outcomes and conducting operations analytics, organizations can identify areas for improvement and make informed decisions to optimize operations. This intelligence-driven approach helps enterprises improve their operational efficiency and achieve better results.
Observability and AI ops intelligence
It’s enable holistic understanding, align KPIs with business goals, prioritize user experience, predict incidents, enhance process quality, and reduce response time.
Device intelligence
This provides visibility and control over assets, enabling analysis of end-user experience, device health monitoring, and maintenance throughout their lifecycle.
Technology intelligence
It’s monitors the maturity of IT infrastructure and offers insights for obsolescence management, upgrade planning, agility enhancement, and reducing technical debt.
Innovation intelligence
It provides valuable insights on organizational effectiveness, tracking the value delivery index (VDI) and optimizing resource allocation for innovation teams and labs.
Commercial intelligence
It covers aspects such as monthly billing accountability, industry benchmarking, ROI tracking, flexible billing models, and optimized cloud spend. It enables effective visualization, management, and optimization of multi-cloud expenses.
Sustainability
Sustainability leverages technology to drive data-driven intelligence, with a focus on real-time energy consumption and GHG emissions tracking. AI-powered advanced analytics transform this data into actionable insights, enabling carbon footprint reduction and cost savings through improved corporate performance.
Building data-driven IT infrastructure
To establish a robust Digital Foundation, enterprises need a comprehensive solution package encompassing accelerators, best practices, expert guidance, efficient processes, and complementary tools. This suite should prioritize customer journeys, value generation, and leverage data intelligence.
Harnessing the power of AI to analyze data and extract actionable insights is paramount for achieving success. Without it, it becomes challenging to make informed decisions and build a resilient Digital Foundation that stands the test of time.
Featured Articles
