organ leader and decision making

            We have three different conditions for making successful innovation. They are 1) Motivation, 2) Support, 3) Direction [McKeen & Smith (2015)].  

1.      Motivation: It encourages the people by establishing various rewards for innovation. Many people in the organization work hard for the best outputs. By the pressures of the team leaders or higher authority people, they tend to demotivate and get discouraged. They cannot work for creating new innovations by the extra pressures. So, the organization should create a new innovative idea by giving rewards and extra incentives for all the employees who work hard in resolving the risks. This can boost up the confidence levels of the employees and result in great outputs [Johnston (2017)]. Every organization can have different types of rewards given for their employees. Some of them may give rewards like tickets, books, executive citations and recognition days, etc. Some may give the opportunity to play and work with upcoming new technologies.

2.      Support: This should create support by creating an effective infrastructure for which it can sustain the innovation. As the motivation phase can encourage the employee for creating the innovation, they should also start providing support for the innovation. Not only the motivation, but also support helps in creating efficient innovation. Here, we have two different strategies followed in supporting the innovation. They are stated as follows:

· Insulate: This strategy helps all the organizations to create the innovation centers. These are the centers that act as the one-stop destination for all the common problems.

· Incubate: This strategy helps to keep all the centers within specific lines of business (LOBs) [McKeen & Smith (2015)].

The centers that are established will support all the innovations. Supporting the innovation may involve some tasks like providing the access for all the organizations that deal with them, they should provide the effective infrastructure, the social interaction with other organizations, various functions that can support for development of any particular organization [Minshall, Stefan, Mortara (2014)].

3.      Direction: It should manage all the innovations that are created with different strategies. Successful innovations always have a great impact [JD (2009)]. Learning is the most important task to do in any organization. Learning all the new strategical ways to present an innovation leads to best results. We have three different ways of strategical learning that employees in every organization should follow. They are as follows:

· Always we need to link the innovation to the customer value for having a better and clear result. This approach can easily focus on the customer pain points (CPPs) [McKeen & Smith (2015)]. The identification of these pain points gives us many potential solutions.

· Always we should link all the experimentation with the existing business core processes.

· Always we need to use the venture funds for guiding the strategic initiatives. This is one form of providing support for the innovation. By using the venture funds, we can do a series of tasks like focusing on new business models, opportunities, and new markets, explore new technologies and make use of them in new innovations, decision making [McKeen & Smith (2015)]

Discussion 2:

Conditions for successful innovation

Innovation is dependent on information Technology and the relevance of the Information Technology industry is pegged on innovation. For innovation to happen several factors must be looked into. Brainstorming is a major condition for successful innovation. It entails generation of various ideas from different individuals (Burdon, 2016). This creates a pool of unique ideas which if incorporated with Information Technology leads to innovation. Definition of search fields is another factor. This entails technological trends that an organisation wants to innovate. Market analyses play the largest role in definition of search fields (Donate & de Pablo 2015). Market analysis involves learning what other organisations are doing in terms of information technology and then coming up with an innovation to beat the other organisation or be at par with the organisation.

Availability of the necessary information technology infrastructure is a major condition. This involves machines, access to the internet for further study on existing innovations and the tools required to actualise an innovation. Collaboration and coordination of the members of an organisation is another factor (Ikeda, 2016). This is essential since it will motivate employees to actively participate in innovation contests. These contests promote generation of ideas that if harnessed become the greatest innovations in their respective fields. These among many other factors promote innovation.

Discussion 3:

Strategic opportunities to innovation with Big Data

Apart from increasing business value with data, it is often looked by business for help with innovation with data. It is important to identify the information that is external to the organization from different sources like social media and websites. Exploring of sources from where the company could find the external data is vital to leverage the already available data such as internal and social media related. Following are some of the strategic opportunities for innovation with big data:

1. Data Generation: This is done from an unstructured data in case of addresses, phone numbers and people and is used for innovating new products. Other popular king of data generation is by social listening. This can answer various questions like the reason for product declining which was good before, the best price for particular product, reason for declining customer number, most popular services or products (Engelen, 2019).

2. Aggregation: Through this, organizations can perceive what individuals are keen on and correctly segregate and target people that will be destined to cooperate with their image. This can possibly spare an organization thousands and even a huge number of dollars in misused resources. For customers, this implies just seeing services that are designed for their interests, wiping out the dissatisfaction of overexposure to irrelevant items or administrations. This aggregation can provide more performance benefits, enhancement of reporting and analysis capabilities. Furthermore, we need to study on how to select the effective and appropriate aggregation strategy (Ghiossi, 2015).

3. Efficiency: An organization can make use of big data streams for streamlining the efficiency such as waste reduction as it causes slowdowns, lowers the satisfaction levels of clients and consumes money. In addition, big data streams now-a-days are used to discover the old hidden issues and unknown correlations thereby serving as competitive advantage for the companies (Data, 2017).

4.  Analytics: This helps to make smarter decisions and make the best out of resources by analyzing and synthesizing the data from many external and internal sources into intelligence. It then transforms the data into actionable events and insights. These analytics respond to the problems raised before they turn into major issues, hence becoming the key basis for innovation and success (Engelen, 2019).

Discussion 4:

Strategic opportunities to innovation with Big Data

Data is a very important asset of an organization. Valuable information can be generated from a bulk amount of data processed by the system. Besides developing business process IT can generate business value by processing data. So many companies are already taking business advantages from internal and social media data.  Data is always valuable doesn’t matter what is the source of it. To innovate business the first step is flowing some quires.

1. Data related to business and products has been shared by people.

2. Streams data inventory of ecosystem and surrounding

3. Data produced by the system and its value outside of the organization

4. Number of organizational systems that can easily architected for real time data

5. Monitoring the digital asset value changes

Result of the above queries will lead to develop new strategic opportunities for organizations with external data which contains the following:

Data Generation: There are many systems generate public data. Some organization sell their system generated data. Based on these data there are organizations who determines public needs and produce new products or services. For example, based on the local public events accommodation service can be introduced for a short time.

Aggregation: There are some companies who collect data from external sources and process them to generate business data for companies and potential uses. These data platform allows to access processed external business data. There are applications that collect weather data from government and make visible to public.

Service: To create new service for consumers or updating existing service based on data. For example, by calculating cellphone live signals it would easy to count determine a crowded place. Or based on real-time date map application can suggest different route to reach destination.   

Efficiency: Optimizing internal operations could be a good outcome of effective use of data stream. For example, by analyzing customer data restaurant can optimized their food preparation and type of the preparation process, which can increase the number of customers served and their satisfaction.    

Analytics: Organization data can be used in developing top management understanding and knowledge. From previous financial transaction records, it will be easy to figure out the outline of upcoming year budget. It is easy to determine company growth by looking into company accounts records.