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Data & Analytics Transformation ia s Key Initiative for Success
In today's business landscape, data plays a crucial role in differentiating successful organizations from struggling ones.

By
Apac CIOOutlook | Tuesday, August 01, 2023
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Data transformation is crucial for business success. Emphasising data fluency, managing AI solutions, and utilising a business-oriented roadmap for growth and flexibility are the initiatives for success.
FREMONT, CA: In today's business landscape, data plays a crucial role in differentiating successful organizations from struggling ones. Businesses and executives need to adapt quickly to changing realities, address skill shortages, and optimise operational costs through zero-based budgets. Making well-informed decisions involving the right stakeholders is paramount for sustained success.
Embracing managed AI is crucial to unlock the full potential of AI in the business landscape. By adopting managed AI services, organizations effectively harness the transformative power of artificial intelligence while minimizing complexities and challenges. This approach allows businesses to focus on their core competencies, relying on expert AI providers to handle infrastructure, maintenance, and support. As a result, organizations expedite the deployment of AI solutions, enhance operational efficiency, and achieve competitive advantages through data-driven insights, ultimately realizing the promised benefits of AI in the realm of business.
Many organisations have invested significantly in dedicated data delivery teams. However, the true value of data is realized when all employees effectively use it. Data fluency, as an organizational capability, empowers every employee to comprehend, access, and apply data as naturally as they communicate in their native language. When more individuals within the organization possess data fluency, productivity improves, employee turnover decreases, and innovation thrives, reducing reliance solely on specialised teams.
Prominent enterprises have long-term plans spanning several years to enhance their transformative Data & Analytics (D&A) capabilities. This involves modernising existing platforms, retiring outdated ones, and developing new applications to cater to business needs. A successful approach revolves around creating a business-driven roadmap, employing a modular foundational architecture, aligning cross-functional stakeholders, and ensuring the availability of skilled talent for successful implementation.
The concept of Solutions as a Service involves integrating products, problem-solving capabilities, and expertise into a single, user-friendly solution. Given the rapid pace of technological advancements, this evolution is inevitable. Embracing this new category requires a shift in mindset and provides businesses with a competitive edge, similar to the benefits early cloud adopters experienced in the past decade.
Data & Analytics (D&A) transformation is critical for business success. Organisations should focus on data fluency, empower employees to utilize data effectively and adopt fully managed AI solutions like AI as a Service (AIaaS). The ability to navigate economic uncertainty and recession risks requires agility and proactive decision-making based on valuable insights. A business-driven roadmap, leveraging modular foundational architecture, and prioritising outcomes over functions are vital for success. Embracing Solutions as a Service will offer a competitive advantage in this rapidly evolving landscape. By undertaking these key initiatives, businesses drive growth, enhance productivity, and foster a data-driven culture for sustained success.