Analytics for the Masses

Blog /Analytics-for-the-Masses

In addition to the challenges posed by ever-increasing data volume, many (probably most) companies must also grapple with data sprawl, that is, data stored across channels, applications, systems and warehouses. And as if this isn’t enough complexity, there’s also the difficulty posed by different data types – relational data, operational data, historical data, transactional data, unstructured data, etc.

While data volume, dispersal and disparity contribute to the challenge of analytics and the high cost of on-premise data warehousing solutions, the immense value gained by better understanding customer behavior, correctly assessing risk and smartly optimizing business processes keeps the demand for analytics growing strong -- and the adoption of cloud-based analytics solutions trending up.  

Pundit predictions on cloud analytics

  • Over the next five years spending on cloud-based big data and analytics (BDA) solutions will grow three times faster than spending for on-premise solutions. Hybrid on/off premise deployments will become a requirement. (IDC) Leaving the Site Icon
  • Adoption of technology to continuously analyze streams of events will accelerate in 2015 as it is applied to Internet of Things (IoT) analytics, which is expected to grow at a five-year compound annual growth rate (CAGR) of 30%. (IDC) Leaving the Site Icon
  • Decision management platforms will expand at a CAGR of 60% through 2019 in response to the need for greater consistency in decision making and decision making process knowledge retention. (IDC) Leaving the Site Icon
  • The cloud analytics market is expected to grow from $7.5 Billion in 2015 to $23.1 Billion in 2020 at a CAGR of 25.1% during the forecast period. (MarketsandMarkets) Leaving the Site Icon

Analytics for the masses

In step with this strong and growing demand, SAP and SAP partners are making tremendous strides providing customers with innovative, cloud-based approaches and solutions that make accurate, real-time analytics attainable, affordable and manageable for companies of all sizes across all industries.

Most recently, SAP announced SAP Cloud for Analytics Leaving the Site Icon – a planned software as a service (SaaS) offering that aims to bring all analytics capabilities into one solution, and extends that solution to all employees throughout an organization.

At NTT DATA, we applaud SAP’s most recent move to make analytics solutions easier to consume, and we look forward to future, leading-edge developments in analytics from SAP. 

All will agree that a single service that provides all employees with the capability to track performance, analyze trends, make informed decisions and improve business outcomes is a tremendous boon, and by delivering SAP Cloud for Analytics in a fully scalable, multi-tenant environment, the price point will make the service accessible to companies of all sizes, also a major plus.

For our part, we will continue to help our SAP customers unlock the potential of their data – wherever it resides, and make better, faster, more informed decisions throughout their organization with SAP-based analytics solutions.

When it comes to meeting the analytics needs of our customers, NTT DATA’s overarching goal is three-fold: make analytics more affordable; make analytics more efficient and easier to use; and extend the reach of analytics to more business users throughout the enterprise.

In working toward this goal with our customers, we leverage the latest cloud, mobile and data-visualization technologies, along with present and future SAP-based BI and analytics solutions, and increasingly hybrid (on-premise + cloud) delivery models.

The value in bringing analytics to the masses is as straightforward as it is compelling -- extend the reach of analytics to more decision makers throughout your enterprise, provide an intuitive user interface and easy-to-use modeling tools, deliver decision-ready data in appropriate formats, and the ROI on your analytics investment increases exponentially.

Contact NTT DATA for more on how to advance analytics in your enterprise.

Post Date: 2015-11-06