Data as a Service

In un’era sempre più dominata dal cloud computing, dall’AI e dall’analisi avanzata, può sembrare per lo meno anacronistico che molte organizzazioni facciano ancora affidamento ad architetture di dati costruite prima della fine del secolo.Fortunatamente questo scenario sta subendo un cambiamento repentino con l’adozione di nuove tecnologie di integrazione dati, come la virtualizzazione dei dati, che forniscono un livello logico, in tempo reale e sicuro di accesso ai dati aziendali. Le diverse sorgenti dati non devono più essere trasferite fisicamente in un nuovo repositorio e trasformate, ...

Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.Coping with data silos that house data that must be combined and provisioned to support decision-making.Exposing purpose-built analytics, such as supply chain, for consumption in...

Leverage Data Virtualization to Turn Raw Data into Actionable IntelligenceBusiness decision makers are not analysts, but they are often called upon to play the role of analysts by poring over tables of raw data to derive actionable insights. Ultimately, business decision makers need more than raw data; they need clean, curated information that is custom-fi t to their goals, so that when it arrives, it is immediately intelligible. In short, what they need is data-as-a-service (DaaS).Download this solution brief to learn more about: