Organisations always have to deal with changing market conditions. This means developing deeper insights and answering the question: what are our best next steps? A good starting point would be to address the enormity of available internal and external business data without becoming subsumed by its storage and management. Analytics are a good way to move from insights to outcomes. From so what? to now what? Accenture research shows that successful businesses – Unilever and Tesco, for example – have a far higher analytical orientation than other companies. In fact, organisations like these are five times more likely to view analytical capabilities as core to the business. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe However, our work with the Royal Shakespeare Company (RSC) demonstrates that analytics is not the preserve of technology-driven multinationals. We used audience segmentation and analytics techniques to transform the RSC’s approach to customer relationship management. As a direct result, its membership list was boosted by 40 per cent, while regular attendance surged by over 70 per cent. There is vast potential for the scientific application of insight to drive increased performance. For example, organisations will be able to more accurately predict what customers will buy, the source of potential supply chain disruptions, or which employee will become a top performer. Every corner of the business stands to benefit. It will be a challenging journey. Our research shows that almost 40 percent of executives believe their current technological resources and systems significantly impede the effective use of enterprise analytics. Encouragingly, technology no longer lags aspirations in this area. Sophisticated analytics tools are available through best-of-breed providers or embedded in the latest ERP, financial and CRM software. Cloud computing has transformed the ways in which data can be stored and processed and open source software has democratised the analytics capabilities needed to drive insights from data. Many companies already use analytics for functional point solutions. But few have taken this to the next level of competitive advantage by joining up these capabilities. CIOs have a key role to play by enabling the cross-functional processes needed to embed analytics enterprise-wide. Once this is achieved, companies will be able to close the loop from insight generation, through insight validation, execution and value realisation to performance monitoring, metrics and governance. This end-to-end methodology will let executives answer questions like why one product promotion failed, while another succeeded. When an organisation is doing that routinely across the business, instantly benchmarking results with outcomes from competitor promotions, while simultaneously crowd-sourcing shifts in consumer sentiment, it will have a potent competitive advantage. Companies that succeed in analytics do much more than just buy technology. They focus on making analytics integral to how their people at all levels in the organisation make decisions. Their IT organisations play a wider role in the business, taking time to understand what information is needed, before delivering the requisite capabilities. And they nurture analytical talent so that their investment in this vital resource translates into improved performance. Pic: somegeekintncc2.0 Related content opinion Four questions for a casino InfoSec director By Beth Kormanik Sep 21, 2023 3 mins Media and Entertainment Industry Events Security brandpost Four Leadership Motions make leading transformative work easier The Four Leadership Motions can be extremely beneficial —they don’t just drive results among software developers, they help people make extraordinary progress wherever they lead. By Jason Fraser, Director, Product Management & Design, VMware Tanzu Labs, Public Sector Sep 21, 2023 5 mins IT Leadership feature The year’s top 10 enterprise AI trends — so far In 2022, the big AI story was the technology emerging from research labs and proofs-of-concept, to it being deployed throughout enterprises to get business value. This year started out about the same, with slightly better ML algorithms and improved d By Maria Korolov Sep 21, 2023 16 mins Machine Learning Artificial Intelligence opinion 6 deadly sins of enterprise architecture EA is a complex endeavor made all the more challenging by the mistakes we enterprise architects can’t help but keep making — all in an honest effort to keep the enterprise humming. By Peter Wayner Sep 21, 2023 9 mins Enterprise Architecture IT Strategy Software Development Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe