Data Analytics as a Service (AaaS)

Data Analytics as a Service

Data Analytics as a Service (AaaS) provides a user with analytics software delivered via Software as a Service (SaaS). With AaaS, a business can have all of the advantages of Big Data analytics, without having to invest in additional infrastructure to support the storage and computing requirements of an on-premises system.

Why It Matters to your customers

Industry disruption and changing customer expectations have virtually every business looking for ways to deliver better products more quickly, to operate with the greatest efficiency and to minimize waste. Data analytics provides visibility into operations and trends that helps managers steer businesses in the right direction. Data analysis show not only the status of how things are, but it can also show how they could be, which drives improvements and helps to forecast more accurately.

Businesses that leverage data have a clear advantage over those that do not. A study by NewVantage Partners found 80.7% of Fortune 1000 companies say their data investments have been “successful,” with 49.2% reporting data analysis has helped decrease expenses and 44.3% says it has enabled them to find new ways to innovate.

Analytics as a Service brings the advantages of data analysis within reach of more companies. In addition to reducing the burden on in-house IT staff, AaaS reduces risk. It’s billed at a monthly fee, and when users no longer needs the service, they can discontinue it. AaaS is also an option if a company has on-premises resources for analytics, but needs expanded, temporary capabilities to analyze additional data or to research a one-time event or project.

Why Data Analytics as a Service is an Opportunity

Analytics as a Service can be included in a business services offering with solutions such as enterprise resource planning (ERP), management systems, and cloud, network and security services. Your vendor partner will back you with the support you need to successfully deploy AaaS solutions and integrate them with your clients’ business applications.

Although you can find opportunity to provide AaaS solutions to businesses in almost any industry, telecom and financial services are early adopters, and data warehouse optimization, customer/social analysis, and predictive maintenance are leading use cases.

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