Monthly Archives: November 2015

Literature Review of the Term “Analytics”

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Selected definitions for the term “Analytics” from literature:

Merriam-Webster dictionary: 

Analytics is the method of logical analysis (while Analysis is the separation of a whole into its component parts).

Wikipedia:

Analytics is the discovery and communication of meaningful patterns in data.

Gartner:

Analytics has emerged as a catch-all term for a variety of different business intelligence (BI)- and application-related initiatives. For some, it is the process of analyzing information from a particular domain, such as website analytics. For others, it is applying the breadth of BI capabilities to a specific content area (for example, sales, service, supply chain and so on).

INFORMS:

Analytics is defined as the scientific process of transforming data into insight for making better decisions.

How do you define “Analytics”? Email us and publish your idea!    


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BI and analytics put the ‘smart’ in smart cities: IDC

Business intelligence (BI) and analytics are central to smart city initiatives. These solutions are what puts the “smart” in smart cities and cities need to have an independent assessment of which vendors can provide the best solution for their needs. To support this effort, IDC Government Insights announced the availability of a new report, IDC MarketScape: Worldwide Smart Cities Business Analytics Software 2015 Vendor Assessment. The scope of this report is limited to business intelligence and analytic tools and performance management and analytic applications. Vendors featured include IBM, Microsoft, Oracle, Salesforce, SAP, SAS, and Tableau.

Representational image: Reuters
The new report brings to light two important factors about vendors in this space:

This is the short list of global Smart City business analytics software vendors. The vendors studied for this IDC MarketScape are among the few business analytics vendors that have specific offerings geared towards Smart Cities and that are addressing the most important characteristics for smart cities.
There is a tight field of leaders. There is contention in the Leaders category based primarily on capabilities.

According to Ruthbea Yesner Clarke, Research Director for IDC’s global Smart Cities practice, “The vendors studied for this IDC MarketScape are among the few business analytics vendors that have specific offerings geared towards Smart Cities and are addressing the most important characteristics for smart cities. This report will help city decision-makers understand their options more fully.”

Those important characteristics include:

– Ease and speed of analysis/ self-service
– Strength of analytics
– Flexible delivery models
– Ability to share data
– Innovation and/ or Co-innovation

According to IDC, the amount of data that is created each year is expected to grow from 4.4 zettabytes in 2013 to 44 zettabytes – or 44 trillion gigabytes – in just five years, a growth of 40% per year. (Source: EMC Digital Universe Study, research and analysis by IDC, May 2014) Much of this growth is driven by connected devices and, more specifically, mobile connected devices (RFID, smart cards, body cams, GPS). Government organizations will need to analyze data created from government systems as well as from outside government. Social media, information from mobile apps and smartphones will become more and more useful to cities as they work on managing traffic, crime, events etc.

Source: http://www.firstpost.com/business/bi-and-analytics-put-the-smart-in-smart-cities-idc-2491406.html

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