Data analytics is the process of storing, organizing, and analyzing raw data to answer questions or gain important insights. Data analytics is integral to business because it allows leadership to create evidence-based strategy, understand customers to better target marketing initiatives, and increase overall productivity. Companies that take advantage of data analytics reap a competitive advantage because they are able to make faster changes that increase revenue, lower costs, and spur innovation.
In today’s digital world, the ability to make data-driven decisions and create strategy informed by analysis is central to successful leadership in any industry. The Certificate in Data Analytics at Penn LPS Online was created to help you enhance your data literacy and increase your professional opportunities. This Ivy League certificate is not designed to train you to become a data scientist but rather to provide a strong foundation in data analysis techniques that may be utilized in a variety of career paths. Possibilities include business analyst, policy analyst, market researcher, digital marketer, and quality assurance professional.
Read on to explore five key benefits of making data analytics a priority in business.
When businesses have access to the digital footprints of their customers they can learn invaluable knowledge about their preferences, their needs, and their browsing and purchasing behavior. Analyzing data collected from targeted markets can also help companies more swiftly identify trends and patterns and then customize products or services to meet these needs. The more an organization knows about who its customers are and what they want, the better it will be able to grow the customers’ loyalty, ensure they are happy, and boost sales. If leaders don’t take notice, they run the risk of losing their consumer base to a competitor who does.
Whether you’re seeking an entry-level or leadership role, it’s increasingly apparent that to be successful in today’s job market, it is critical that you are able to analyze data and communicate the findings in a way that is easily understood. DATA 1010: Introduction to Data Analytics at Penn LPS Online introduces you to important concepts in data analytics across a wide range of applications using the programming language R. You’ll complete this course with a clear understanding of how to use quantitative data to identify problems in real-time, make decisions, and create solutions.
Data analytics also gives companies the power to make faster, better-informed business decisions—and avoid spending money on ineffective strategies, inefficient operations, misguided marketing campaigns, or unproven concepts for new products and services. By using a data-driven decision-making model, leaders also set up their organizations to be more proactive in identifying opportunities because they can be guided by the validity of data rather than simple intuition or industry experience. However, it is also important that decision-makers understand that although data may show a certain pattern or suggest an outcome, a flaw in the analysis or collection process could potentially render it inaccurate or misleading.
Once you’ve completed the introductory course in data analytics, the next logical step is to enroll in DATA 2100: Intermediate Data Analytics. In this course, you will learn two fundamental skills: survey and experimental research. You’ll be trained in every step of the survey research process, including how to design good survey questionnaires, draw samples, weigh data, and evaluate the responses. By the end of this flexible online class, you’ll understand how to develop and analyze a randomized experiment and build upon your skills in R programming.
Businesses can also use data to inform their strategies and drive targeted marketing campaigns to help ensure promotions engage the right audiences. By analyzing customer trends, monitoring online shopping, and evaluating point-of-sale transactional data, marketers can create customized advertising to reach new or evolving consumer segments and increase the efficiency of overall marketing efforts. And by taking advantage of these insights on consumer behavior and desires in customer-oriented marketing, businesses can meet and exceed expectations, boost brand loyalty, and encourage growth.
If you are interested in developing targeted marketing or advertising campaigns, it’s critical you understand the process by which quantitative social science and data science research is conducted. And that’s where DATA 3100: Introduction to Statistical Methods at Penn LPS Online comes in. This course comprises three complementary tracks. In the first, you’ll learn the basic tools necessary to perform social science research including descriptive statistics, sampling, probability, and statistical theory. In the second, you’ll discover how to implement these basic tools using R. And in the third, you’ll study the fundamentals of research design, including independent and dependent variables, producing testable hypotheses, and issues in causality.
Another major benefit to data analytics is the ability to use insights to increase operational efficiencies. By collecting large amounts of customer data and feedback, businesses can deduce meaningful patterns to optimize their products and services. Data analytics can also help organizations identify opportunities to streamline operations, reduce costs, or maximize profits. Companies can use insights from data analytics to quickly determine which operations lead to the best results—and which areas are underperforming. This allows decision-makers to adjust their strategies accordingly and proactively anticipate problems, manage risks, and make improvements.
Predictive modeling of data is one of the most sought-after skills in data science because it can help companies strategize future investments, nonprofits organize fundraising drives, or political candidates decide where to focus their canvassing efforts. DATA 4010: Advanced Topics in Data Analytics at Penn LPS Online starts with a comprehensive discussion on basic regression analysis and progresses to more advanced topics in R, such as mapping, textual analysis, web scraping, and working with string variables. You will also learn about more advanced data visualization skills in the class, including how to create interactive data visualizations in an R tool called Shiny.
When it comes to innovation, data analytics allows businesses to understand their current target audience, anticipate and identify product or service gaps, and develop new offerings to meet these needs. Not only can companies use data to track customer feedback and product performance in real-time, they can also track what rivals are doing so they can remain more competitive. Insights from data analytics can also allow organizations to update their existing products or services to reflect changing consumer demands, tweak marketing techniques, and optimize customer services. The enhanced adaptability afforded by big data can mean the difference between thriving or failing as a business.
"The Certificate in Data Analytics taught me how to clean, organize, and analyze data in R with just a few lines of code, which is so much faster than the processes I had been using in Excel. The course content is really well done, and the instructors are excellent. The weekly synchronous sessions kept me on track and helped me master new material and reinforce concepts from previous weeks. These skills will save me a lot of time in my job, and now I feel equipped to keep learning about these topics independently."
- Susan Hassett, Enrollment Systems Analyst, College of Liberal and Professional Studies, University of Pennsylvania
The Certificate in Data Analytics at Penn LPS Online is a 4-course program designed to provide you with a point of entry to gain expertise in the field of data analytics. With flexible scheduling options and no required commute, you can develop your data literacy skills without sacrificing time dedicated to personal and professional responsibilities. The data analytics courses are taught by experienced practitioners, including members of the faculty from the Penn Program on Opinion Research and Election Studies. And the only prerequisites to succeeding in this credential are basic math skills, familiarity with using a computer, and an eagerness to expand your knowledge.
Whether you’re looking to immerse yourself in a personal area of interest or upgrade your skills to advance your career, the courses, certificates and undergraduate degree at Penn LPS Online are designed to fit your intellectual and professional goals. Applications and enrollment are open year-round. If you haven’t already, complete your enrollment and take the first step toward building your competency in data analytics today.
Procedures, policies, and means that help monitor and control the direction, allocation, and usage of financial resources
Over 1.8 million professionals use CFI to learn accounting, financial analysis, modeling and more. Start with a free account to explore 20+ always-free courses and hundreds of finance templates and cheat sheets.
Written by
CFI TeamFinancial controls are the procedures, policies, and means by which an organization monitors and controls the direction, allocation, and usage of its financial resources. Financial controls are at the very core of resource management and operational efficiency in any organization.
The implementation of effective financial control policies should be done after a thorough analysis of the existing policies and future outlook of a company. In addition, it is important to ensure the following four processes are completed before implementing financial control in a business:
Financial budgets, financial reports, profit & loss statements, balance sheets, etc., present the overall performance and/or operational picture of a business. Hence, while formulating financial control policies, it is very important to detect any overlaps and/or anomalies arising out of the data available. It helps in detecting any existing loopholes in the current management framework and eliminating them.
Financial control is the essence of resource management and, hence, the overall operational efficiency and profitability of a business. Timely updates of all available data are very important. In addition, updating all management practices and policies concerning the existing financial control methods is also equally important.
Before implementing a fixed financial control strategy in an organization, it is important to thoroughly evaluate all possible operational scenarios. Viewing the policies from the perspectives of different operational scenarios – such as profitability, expenditures, safety, and scale of production or volume – can provide the necessary information. Also, it helps establish an effective financial control policy that covers all operational aspects of the organization.
While implementing a financial control policy, forecasting and making projections are very important steps. They provide an insight into the future goals and objectives of the business. In addition, they can help establish a financial control policy in accordance with the business objectives and act as a catalyst in achieving such goals.
Efficient financial control measures contribute significantly to the cash flow maintenance of an organization. When an effective control mechanism is in place, the overall cash inflows and outflows are monitored and planned, which results in efficient operations.
The financial resources of an organization are at the very core of any organization’s operational efficiency. Financial resources make available all other resources needed for operating a business. Hence, financial resource management is crucial in order to manage all other resources. Effective financial control measures hence are crucial to ensure resource management in an organization.
An effective financial control mechanism ensures overall operational efficiency in an organization.
Ensuring an organization’s overall operational efficiency leads to the smooth functioning of every organizational department. It, in turn, increases productivity, which comes with a direct, positive relationship with profitability. Hence, establishing effective financial control measures ensures the improved profitability of any business.
Financial control serves as a preventative measure against fraudulent activities in an organization. It can help prevent any undesirable activities such as employee fraud, online theft, and many others by monitoring the inflow and outflow of financial resources.
Through financial modeling courses, training, and exercises, anyone in the world can become a great analyst. To keep advancing your career, the additional CFI resources below will be useful: