Looker
Looker is one of the companies that provide superior systems for guiding companies to benefit from the concept of Big Data. This organization introduces the technology by producing and marketing its Looker app to different customers. This is a powerful platform designed to connect customers and business entities. Companies can utilize the app to monitor their clients in a flexible and scalable way (Tunguz & Bien 2016). The system is easy to secure and capable of supporting decision-making processes.
Looker’s app presents a number of changes in the manner in which companies use Big Data to meet their clients’ needs. The first one is that the system guides business leaders to make evidence-based decisions and engage in data analytics. The next one is that it provides a complete view of customers’ needs, expectations, and experiences (Tunguz & Bien 2016). Another change is that the system has a pre-built design or app that is aimed at improving organizational performance. Firms can use it to link different units or departments to deliver positive results.
Many businesses embracing the use of the Looker app have managed to record a number of benefits or achievements. For instance, they have improved their decision-making procedures by getting real-time information about customers’ behaviors and expectations. The use of the technology also guides HR managers to consider the questions and issues their employees present after interacting with different clients (Tunguz & Bien 2016). The app also improves communication between departments and units. Looker’s solution has made it easier for companies to implement changes informed by customers’ changing demands. The tool maximizes collaboration, participation, and communication.
The leading customers for this technology include learning institutions, emerging businesses, and government agencies. The majority of them support the solution since it can transform problem-solving, decision-making, and customer satisfaction initiatives (Tunguz & Bien 2016). Different stakeholders have also presented positive views regarding the use of this solution in different settings. Looker should, therefore, consider emerging issues and suggestions to improve the app continuously.
IBM
IBM is one of the corporations that take the issue of modern technologies seriously. It has partnered with Hortonworks to introduce superior Big Data systems that ensure that diverse data is analyzed and differentiated into unstructured and structured information. It considers the concept to achieve most of its goals. Using its existing cloud platforms, IBM has created complex systems that firms can consider to manage information, gather data, and analyze it to make superior business decisions (Chen, Argentinis & Weber 2016). The corporation has also become a leader in the production and marketing of customized Big Data solutions.
Companies that embrace this technology from IBM have managed to support several changes, including streamlining their operations and processes (Chen, Argentinis & Weber 2016). They have been able to solve emerging problems and produce superior products that resonate with the demands of the targeted customers. They also introduce new change models using the solution.
Businesses that utilize IBM’s Big Data technology improve their operations by monitoring all emerging changes and competitive areas in their industries. This means that the technology has been of significant value for introducing new transformations. The technology has also streamlined decision-making, problem-solving, and service delivery processes. The introduction and use of advanced IBM Big Data solutions is a move that supports organizational change. This means that the company has transformed its processes and practices, thereby adding value to the targeted customers. According to Chen, Argentinis, and Weber (2016), this technology makes it possible for IBM’s clients to fight all forms of cybercrime.
The use of BIG Data has led to the production of superior systems that can meet the needs of all clients. This is a clear indication that the targeted customers have continued to perceive the use of Big Data positively (Chen, Argentinis & Weber 2016). Many stakeholders are also pleased with the idea since it ensures that they remain competitive in their industries.
Oracle
Being a leader in the data technology industry, Oracle has managed to produce and market Big Data solutions to different companies. With the presence of powerful and advanced cloud systems, this corporation has developed superior applications for extracting acquired data from different units and divisions (Abellera & Bulusu 2018). Many companies have employed competent programmers and professionals to handle such solutions and present desirable inferences.
Firms utilizing Big Data from Oracle have managed to record several changes. The first one is the manner in which customer information is gathered and analyzed. The second change is the way employees collaborate and analyze data (Abellera & Bulusu 2018). Another transformation is the ability to introduce superior work cultures, organizational structures, and practices.
The continued use of Big Data at this corporation is an approach that has added value to many companies’ business processes and organizational change. For instance, firms can apply this technology to understand customers’ emerging behaviors, expectations, and preferences. They also utilize it to monitor trends in the industry, thereby producing superior solutions and products that can meet their clients’ needs (Abellera & Bulusu 2018). The strategy has also streamlined the way companies handle customers’ complaints and issues. Similarly, the technology has supported a new change focusing on business performance. This is true since Oracle has developed a superior model for meeting customers’ needs and delivering organizational goals.
With such initiatives, many customers perceive Oracle’s Big Data solutions positively since they receive more high-quality services and IT solutions than ever before. Some have also acknowledged that there is a need for firms to continue monitoring emerging technologies from Oracle in order to address their demands. Similarly, all stakeholders have been supportive throughout the process (Abellera & Bulusu 2018). According to them, Oracle’s Big Data system is a powerful model for maximizing profitability, improving performance, and supporting the needs of community members.
SAS
SAS is another company that understands the importance of data analytics and how the technology can make a significant difference for many companies and small businesses. This corporation’s Big Data technology focuses on the best analytical procedures that customers can implement to ensure that the collected data and information makes more sense (Pope 2017). Customers can, therefore, purchase an analytical platform that is best suited to meet their unique expectations.
SAS’s approach to Big Data has led to numerous changes in many sectors and industries. For instance, companies can now its analytical tools to study and monitor complex business scenarios and make positive inferences. This solution also offers timely responses and decision support systems (DSSs) that guide managers to monitor customers’ complaints, suggestions, and expectations (Pope 2017). Consequently, SAS’s Big Data solutions have revolutionized the way companies pursue their business objectives.
As described above, SAS’s Big Data technologies have added value to business processes and organizational changes. For example, companies that implement them can gather adequate data, analyze it, and use the acquired ideas to support superior strategies. Companies that implement such technologies will streamline a wide range of processes, coordinate operations, and improve communication (Pope 2017). Every form of data is applied or analyzed to transform business performance. Companies using SAS data analytics solutions find it easier to support new organizational changes, thereby delivering timely and positive results. The model can also guide business leaders to introduce better systems and practices.
Businesses currently using SAS Big Data systems have appreciated them since they deliver the intended objectives. Customers can make timely decisions, improve their clients’ experiences, and monitor suspicious activities. The cloud-based solutions also support the decision-making process. Stakeholders have perceived this technology in a positive manner since it adds value to them (Pope 2017). SAS has achieved its goals while at the same time fulfilling its stakeholders’ expectations.
Future Scope
The concept of organizational change is relevant since it guides companies to introduce superior ideas and procedures for adding value, increasing competitive advantages, and empowering their clients. However, managers planning to transform their corporations must consider the future of technology. The case of Big Data shows that modern organizational changes would be impossible or unsuccessful without involving these key stakeholders: customers, employees, community members, and shareholders (Matthias et al. 2017). The idea of data analytical solutions describes how firms can collect adequate data from different individuals and use the acquired information to make informed decisions.
The insights and ideas gained from such systems will be considered to propose the best steps and procedures for implementing the intended change. This means that more companies and entrepreneurs will monitor emerging technologies and combine them with the existing strategies in an attempt to implement the targeted transformational initiative. In the future, innovative ideas and solutions will be capable of guiding all aspects of organizational change. Through the use of emerging technological solutions, more companies will be able to monitor and understand their customers’ demands. They will also appreciate the ideas and trends experienced in their respective sectors (Halaweh & Massry 2015). With Big Data in place, such corporations will introduce superior systems and processes that can improve performance. Such attributes will be implemented using evidence-based change models.
Resistance to any new transformation is a common occurrence in many organizations. Modern technologies can guide leaders and managers to gather data from different channels or processes. The collected information will reveal the unique reasons why some employees might be willing to object to a proposed change initiative. With proper analytical or data solutions, managers can address such difficulties and support the intended change (Eine, Jurisch & Quint 2017). The ultimate objective is to ensure that the introduced transformation adds value to the company and makes it more profitable.
Finally, any form of change will succeed if managers combine it with existing or modern technologies. This means that leaders will involve technical experts to guide the process and solve emerging problems (Hassani & Gahnouchi 2017). The introduction of modern technologies can be treated as a change that is capable of streamlining organizational performance and delivering high-quality products and experiences to all key stakeholders. In conclusion, firms should acknowledge that technological innovation is the future of all organizational changes if they are to achieve their potential and remain relevant in their respective industries.
Reference List
Abellera, R & Bulusu, L 2018, Oracle business intelligence with machine learning: artificial intelligence techniques in OBIEE for actionable BI, Apress, New York.
Chen, Y, Argentines, E & Weber, G 2016, ‘IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research’, Clinical Therapeutics, vol. 38, no. 4, pp. 688-701.
Eine, B, Jurisch, M & Quint, W 2017, ‘Ontology-based Big Data management’, Systems, vol. 5, no. 3, pp. 45-58.
Halaweh, M & Massry, AE 2015, ‘Conceptual model for successful implementation of Big Data in organizations’, Journal of International Technology and Information Management, vol. 24, no. 2, pp. 21-34.
Hassani, A & Gahnouchi, SA 2017, ‘A framework for business process data management based on Big Data approach’, Procedia Computer Science, vol. 121, no. 1, pp. 740-747.
Matthias, O, Fouweather, I, Gregory, I & Vernon, A 2017, ‘Making sense of Big Data – can it transform operations management?’ International Journal of Operations & Production Management, vol. 37, no. 1, pp. 37-55.
Pope, D 2017, Big data analytics with SAS, Packt Publishing, Birmingham.
Tunguz, T & Bien, F 2016, Winning with data: transform your culture, empower your people, and shape the future, Wiley, New York.