PowerPoint Presentation
Trends in Applications of Big Data Analytics in Business: An
Annotated Bibliography
byYaw Johnson ArkaahSeptember 12, 2015
List of Trends
Application of Big Data Analytics in MarketingApplication of Big
Data Analytics in Accounting and FinanceApplication of Big Data
Analytics in Healthcare Management
TREND 1: BENEFITS TO MARKETINGAnnotation 1.1
Franks, B. (2012). Taming the Big Data Tidal Wave: Finding
Opportunities in Huge Data Streams with Advanced Analytics.
Hoboken, NJ: John Wiley & Sons, Inc.Purpose of the WorkStaying
competitive.
Summary of Content
Technology and people are the main resources for
handling.Analytics cultureBe part of business management.
Type of Receiving AudienceMarketing executives, specifically,
CEOs.
Material Relevance to TopicConsistent with the topic.
Strengths of MaterialSupports the current trend in big data
analytics.
Annotation 1.2McAfee, A., & Brynjolfsson, E. (2012). Big
Data: The Management Revolution. Harvard Business Review 90(10),
60-68
Summary of ContentData is fast becoming a critical
organizational asset.
Can deliver significant value by enabling better decision-making
and hence better business outcomes. Type of Receiving
AudienceBusiness organizations and companies.
Material Relevance to TopicA high-quality contribution.
Strengths in the MaterialHighlights other areas of Big Data
Analytics; and
Guidance for specialization.
TREND 2: ACCOUNTING AND FINANCEAnnotation 2.1Srivastava, U.,
& Gopalkrishnan, S. (2015). Impact of Big Data Analytics on
Banking Sector: Learning for Indian Banks, Procedia Computer
Science, 50, 643 652 Purpose of the WorkDiscusses some of the
important roles played in the banking/finance.
Summary of ContentHas led to the unlocking of secrets of money
movements.
Helping to prevent major disasters and thefts.
Helping in understanding consumer behavior.
Receiving AudienceThe target audience is accounting and banking
officials, specifically, CEOs and heads of such businesses and
corporations.
Document RelevanceBenefits with specific emphasis on the banking
and financial sector.Strengths of Document Supports the current
trend as evidenced by upsurge of its application.Annotation 2.2
Warren, Jr., J.D., Moffitt, K.C., & Byrnes, P.E. (2015). How
Big Data Will Change Accounting, Accounting Horizons, 29(2),
397407
Purpose of WorkIncredibly important implications for
accounting.
How it can help improve productivity and profitability. Summary
of ContentImproves accounting records, help increase transparency,
reduce fraud potential, and increase organizations
profitability.
Challenges businesses face with the quantity of data, relevance
of data and resources to mine, and how to analyze such data.
WeaknessLack of comprehensive discussion on its application
regarding changes to accounting standards needed for accurate
presentation of business measures.
TREND 3: BENEFITS TO HEALTHCAREAnnotation 3.1Raghupathi, W.,
& Raghupathi, V. (2014). Big Data Analytics in Healthcare:
Promise and Potential. Health Information Science and Systems,
2(3), 1-10Purpose of the ArticleDiscusses the promise and potential
of Big Data Analytics in healthcare.Summary of ContentBenefits in
healthcare management and provision, and a brief discussion on the
challenges.
Healthcare analytics has gained popularity in fraud
detection.
Can detect fraud sooner and reduce the negative impact of
significant losses owing to fraud.
Type of Receiving AudienceHealthcare professionals, researchers
and pharmaceutical companies,
Material Relevance to TopicDirectly discusses the benefits in
healthcare management.Strengths of the Article Document supports
the current trend.Annotation 3.2Reddy, C.K., & Aggarwal, C.C.
(2015). Healthcare Data Analytics. New York, NY: Chapman and Hall /
CRCPurpose of the BookA comprehensive overview of healthcare
analytics research.
A novel techniques for acquiring, handling, retrieving, and
making use of healthcare data.
Recent trends in healthcare computing and emerging tools
used.Content of the BookPresents a comprehensive overview of recent
healthcare analytics research.
Provides a clear understanding of the analytical techniques
currently available for solving healthcare-related issues.
Discusses several computational challenges in the field of
medical informatics.
Type of Receiving AudienceData analysts, IT professionals,
computer and data scientists, researchers and experts working in
the healthcare domain.
Material Relevance to TopicFills the gap by providing guidance
to the receiving audiences.
Strength of the Book Contents will help to bring together
individuals from the various healthcare communities.
ReferencesFranks, B. (2012). Taming the Big Data Tidal Wave:
Finding Opportunities in Huge Data Streams with Advanced Analytics.
Hoboken, NJ: John Wiley & Sons, Inc.
McAfee, A., & Brynjolfsson, E. (2012). Big Data: The
Management Revolution. Harvard Business Review 90(10), 60-68
Reddy, C.K., & Aggarwal, C.C. (2015). Healthcare Data
Analytics. New York, NY: Chapman and Hall/CRC
Raghupathi, W., & Raghupathi, V. (2014). Big Data Analytics
in Healthcare: Promise and Potential. Health Information Science
and Systems, 2(3), 1-10
References continuationSrivastava, U., & Gopalkrishnan, S.
(2015). Impact of Big Data Analytics on Banking Sector: Learning
for Indian Banks, Procedia Computer Science, 50, 643-652
Warren, Jr., J.D., Moffitt, K.C., & Byrnes, P.E. (2015). How
Big Data Will Change Accounting, Accounting Horizons, 29(2),
397407
Thank You
