Data Analytics: New Edge for Success
Digitizing the Enterprise by Leveraging Analytics and Modern...
Promise of Data Analytics
Business and Data Analytics to Achieve Productive Outcomes
Data as a Business Resource
Jamie Adams, CIO, Mspark
Data Analytics - Centralized or Decentralized?
Kim Wienzierl, Director of Data, Radio Systems Corporation
Tailoring Customer Experience
Abdel Rahman Ismail, Director of Ecommerce, Technology & Performance, Gourmet Egypt
Leveraging Data to Transform Business
Tanaquil Arduin, Msc Mpa, Chief Data Officer, Head Of The Centre Of Expertise For Data, Municipality Of The Hague
Thank you for Subscribing to CIO Applications Weekly Brief

Growing Importance of Leveraging Data Analytics in Business

Leveraging data analytics in business helps personalize by increasing customer engagement, revenue, and customer retention.
FREMONT, CA: Data analytics is one of today's most important aspects of a business's success. Data analytics enables businesses to run more effectively, efficiently, and at a lower cost, improving macro and micro decisions in real-time and strategic, tactical, and operational decisions. The use of data analytics is also possible for improving decision-making, identifying trends, and analyzing customer satisfaction.
Helps in efficient decision making
Analytics can help enterprises minimize losses and guide business decisions. Predictive analytics help identify what could happen if business changes occur, while prescriptive analytics can help determine the essential business activities. There will be a reduction in the time it takes for statistical data due to data analytics. Employees do not have to spend a great deal of time doing calculations but can instead perform other tasks simultaneously with the calculations.
Calculate statistics more easily
With the help of data analytics, statistical data calculating and analyzing is more efficient than ever before. Due to this, employees can quickly analyze the statistics without using them manually. While undertaking a business, there is always a risk associated with it. Organizations can take preventive measures using data analytics. Employee safety, uncollected receivables, and legal liability are some examples.
Ensure accuracy and reliability
Data analytics is an effective way of generating accurate and reliable data for statistical analysis to reduce human error. Leveraging data analytics enables businesses to process and manage these data to create reports that will allow them to improve their business processes, increase revenue, and increase profitability.
Market research assistance
Every company must research to determine market needs and the capacity to address those needs. Data analytics simplifies this market analysis because it provides insight into what has happened and what will happen in the future. Help predict future sales and marketing behavior. An evaluation of the effectiveness of a marketing campaign is essential for businesses. Create new revenue streams through innovation and the identification of new business opportunities.
I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info
Featured Vendors
-
Jason Vogel, Senior Director of Product Strategy & Development, Silver Wealth Technologies
James Brown, CEO, Smart Communications
Deepak Dube, Founder and CEO, Datanomers
Tory Hazard, CEO, Institutional Cash Distributors
Jean Jacques Borno, CFP®, Founder & CEO, 1787fp
-
Andrew Rudd, CEO, Advisor Software
Douglas Jones, Vice President Operations, NETSOL Technologies
Matt McCormick, CEO, AddOn Networks
Jeff Peters, President, and Co-Founder, Focalized Networks
Tom Jordan, VP, Financial Software Solutions, Digital Check Corp
Tracey Dunlap, Chief Experience Officer, Zenmonics