Descriptive Analytics in Organizations Comprehensive Solved Nursing Essay Example

Descriptive Analytics in Organizations Comprehensive Solved Nursing Essay Example

The organization applies descriptive analytics in everyday operations tracking. The organization uses descriptive analytics to report inventory, workflow, sales, and revenue. Descriptive analytics helps the organization effectively and efficiently collect, organize, and analyze the large volumes of data it produces in everyday activities by breaking down the data into smaller, more manageable, and important parts (Morris, 2021). It uses descriptive analytics to evaluate its daily operations and track them against the organizational goals. It also tracks different KPIs, including financial metrics using descriptive analytics, producing outcomes like quarterly revenue or expenses growth. Descriptive analytics is also applied in tracking other performance metrics like conversion rates and social media presence in terms of social media followers and other metrics like production line throughput and downtime (Morris, 2021). These metrics are used in reporting and visualization. The various metrics, including the key financial metrics found in the organization’s financial statements, are generated and reported using descriptive analytics to highlight multiple aspects of business performance. Reporting these metrics using charts and graphic representations helps the organization communicate effectively to reach and impact the wider audience.(Descriptive Analytics in Organizations Comprehensive Solved Nursing Essay Example)

In the past few years, big data analytics have helped the organization in real-time objective decision-making. The organization gathers vital information from big data to make informed business decisions. It maintains large and complex data sets that it processes using concepts and methods like inductive statistics to establish dependencies and relationships between data sets and predict outcomes and behaviors (Varshneya, 2017). Big data has transformed the manner the organization views business problems, detects, and understands trends. Big data is applied within the organization to make overall business decisions that concern the business strategy and make objective data reliable. The organization’s ability to efficiently analyze the big data to develop insights has helped prevent risks and build a competitive edge. Generally, big data has helped the organization decide faster, react quicker, act promptly, make decisions collaboratively, outside the box, and on high-quality data. The decision-making process in the organization is always aligned to the larger goals that are broken into smaller and more manageable chunks for better decision-making. (Descriptive Analytics in Organizations Comprehensive Solved Nursing Essay Example)

The organization has done well in building infrastructure, analytics, and applications to capture and analyze data. The analytics ecosystem offers the organization the data to rely upon to understand various aspects of the business environment, including customers, suppliers, competitors, and determinants like pricing, business operations, and marketing (Mittal, 2021). The organization has increasingly invested in analytics interventions to improve operations and business decision-making. It has built in-house analytics capabilities, prioritizing data science because it understands the value of data in daily decision-making processes. The organization hires individuals to focus on data extraction from various systems, clean it, and make it usable to generate KPIs in sales, operations, and marketing. However, the organization does not have all the necessary capabilities to develop business value despite integrating internal and external resources like partnerships. Externally, the organization utilizes an open talent model or crowdsourcing the various discrete capabilities it lacks internally.(Descriptive Analytics in Organizations Comprehensive Solved Nursing Essay Example)

Samsung already uses big data analytics to process complex information. It is advancing its application of big data in various fields by employing high-performance computing, innovative cloud computing, and data center systems (Varshneya, 2017). Samsung can improve in these areas by modernizing its factory with mobile. The company currently relies on human intelligence and power to gather, clean, and make data usable. Still, it needs to gather information digitally to feed its analytics engine efficiently for efficiency and competitiveness. Digitizing all its data collection processes and using mobile devices to replace single clipboards will help send information to its databases in real-time. Mobile devices like the Tab Active2 can help eliminate obstacles in data transcription and movement by recording all machine-reading and task completion on a tablet, accelerating data and minimizing errors (Apte, 2019). Building a smart factory would help the organization incorporate descriptive and big data analytics in all business operations for efficiency and a competitive edge.(Descriptive Analytics in Organizations Comprehensive Solved Nursing Essay Example)