DATA TO DECISIONS

Doug Henschen on Analytics, Big Data & Smart Apps

Cloud BI and Analytics Options Aren’t Just for Cloud Data

Exploit cloud advantages and data from on-premises, external sources as well as cloud stores to drive deeper insight, innovation and new business models.

The center of data gravity is shifting outside the walls of the enterprise. In fact, Constellation estimates that by 2020, at least 60 percent of the data that organizations consider to be mission-critical will live outside the four walls of the enterprise.

The move to cloud computing is the leading contributor to this trend, and it will change how organizations handle business intelligence (BI) and analytics. But don’t make the mistake of thinking that cloud-based BI and analytics options are just for data that’s created in the cloud. Rather, these systems are ideal for the increasingly common scenario in which organizations are gaining insight from data from all over the place.

data-explosion-by-2020

Yes, it will be a hybrid world, but that’s not a binary choice between data that’s in your corporate data center and data born or uploaded into your cloud stores. Some of the data you need will be in software-as-a-service applications, some in partner networks, some in social networks, some in mobile apps running on cloud infrastructure, and some in third-party sources, such as weather feeds, demographic enrichment sources, and government data sets.

As I explain in my latest report, Three Imperatives for Innovating with Cloud BI and Analytics,  the opportunity is to take advantage of cloud flexibility, ubiquity and architecture to tap into many sources, support important new analyses and surpass the old barriers of BI. That advantage isn’t just reduced initial cost and administrative overhead (you can achieve that through hosting of conventional software, but that’s not what Constellation would call true, multi-tenant cloud BI and analytics).

The report addresses three priorities that companies should pursue as they move toward next-generation deployments:

  1. Make the most of cloud advantages including flexibility and elasticity, so you can quickly tap new data sources as they emerge, wherever they emerge. Further, with cloud services it’s easier to embed insights into applications and expose them externally to partners and customers.
  2. Take advantage of external data. As the balance of mission-critical data shifts, cloud-based BI options are well suited to blend and analyze data from myriad external sources, including SaaS apps, social networks, mobile apps, sensor networks, and third-party data providers as well as on-premises sources.
  3. Advance innovation and create new business models. Think beyond dashboards and reports. Innovators are using analytics to drive insight-based differentiation, data brokering and data-monetization. Connected-car and predictive maintenance applications, usage-based pricing, performance benchmarks, insight services and predictive recommendations are just a few examples of the kinds of innovations that are creating value and opening up new sources of revenue.

The 21-page report includes two figures, a table depicting Constellation’s view of the evolution from mass personalization systems to cognitive intelligence systems, and a listing of five styles of cloud-based BI and analytic products and representative vendors. To learn more about the report and its findings and recommendations, download this free excerpt, which includes the table of contents, executive summary and introductory section.

constellation-research-report-doug-henschen

Related Reading:
Oracle Vs. Salesforce on AI: What to Expect When
Tableau Sets Stage For Bigger Analytics Deployments
Qlik Gets Leaner, Meaner, Cloudier

 

One comment on “Cloud BI and Analytics Options Aren’t Just for Cloud Data

  1. Pingback: Virginia Tech Fights Zika With High-Performance Prediction | DATA TO DECISIONS

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This entry was posted on December 6, 2016 by in analytics, business intelligence, cloud computing, Data to Decisions and tagged , , , .
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