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conditioning electric power consumption data to determine clogged filters. Eco‐point services, such
            as discount coupons for various services, can use the data to determine incentives for households
            that avoid peak use of electricity. Various service providers, such as food service outlets, can also
            cooperate and share data with electric power companies. These examples demonstrate that the
            secondary use of data can potentially create new services while enhancing the data's value. From
            numerous  viewpoints,  the  secondary  use  of  data  is  under  consideration,  and  its  demand  is
            increasing.

            However, it is possible to know what kinds of home appliances are used in the house. Moreover,
            the family configuration and estimation of income could be analyzed from such data. In a smart grid
            and clean power conference in Britain, an executive of Siemens Energy said "We, Siemens, have the
            technology  to  record  energy  consumption  every  minute,  second,  microsecond,  more  or  less
            live.From that, we can infer how many people are in the house, what they do, whether they're
            upstairs, downstairs, do you have a dog, when do you habitually get up, when did you get up this
            morning, when do you have a shower: masses of private data.". If such information is revealed, it
            may become a threat; e.g., a thief may enter the house when the residents are regularly absent.
            In  equal  measure,  this  secondary  use  of  data  can  result  in  privacy  problems.  In  the  previous
            examples, the location data produced by a smart phone reveals the user's location at a given time.
            The amount of electricity usage recorded by smart meters may reveal excessive power consumption
            by the household, potentially revealing their high‐income status. Moreover, it is simple to publish
            sensitive data utilizing the Internet without proper regard to the privacy. If access to this information
            is not adequately restricted, it may promptly result in its unauthorized use. Aside from its usefulness,
            publishing  the  data  may  result  in  the  infringement  of  privacy  rights.  Therefore,  techniques  for
            publishing the data while simultaneously protecting the privacy are required for the safe secondary
            use of the data.

            6.5  Operation management

            Data  operation  management  focuses  on  the  delicate  data  management  of  internal  business
            processes to produce and distribute products and services. Some of activities that are covered by
            data  operation  management  include  data  creation,  development,  production  and  distribution.
            Other data operation management activities include managing purchases and evaluations. A great
            deal of the focus of data operation management is on the efficiency and effectiveness of data's
            processes. Therefore, data operation management often includes substantial measurement and
            analysis of internal processes. Ultimately, the nature of how data operation management is carried
            out in a city depends much on the nature of products or services. As with all forms of management,
            data operation management needs to be tailored to meet the specific needs and requirements of a
            city. Rather, it is gained through the utilization of thoroughly developed methods and processes,
            and shared with all members. Many factors need considering when planning, implementing and
            continually developing operational processes.
            Supply chain management is defined as the management of data as well data flows both in and
            between links in the chain, which include government, enterprise, social groups and individuals. The
            key issue for successful supply chain management is the effective full‐scale coordination between
            these  different  partners.  Such  relationships  are  dependent  on  the  data  sharing.  Issues  such  as
            purchasing prices and the levels to be purchased, as well as, storage of raw data, and other product
            components are to be overseen. From an operations viewpoint, all of these various processes must
            be reviewed frequently and improved constantly in order to ensure 'smooth', efficient operations
            within the city.



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