Top 5 Books for Business Intelligence and Data Analytics
There are a vast amount of books available for Business Intelligence and Data Analytics, choosing the right one for you and your organisation can be a daunting task. The following 5 books are recommended by our BI consultants based on relevance, reviews and value for your business.
Business Intelligence can help you and your organisation discover leads to greater profits, happier customers and faster reaction times with data analytics. BI tools will enable you to extract information from existing data models to recognise patterns and predict future trends to enhance business insights.
Recommended by Business Intelligence Consultants
Predictive Analytics: The Power to Predict who will click, Buy, Lie, or Die by Eric Siegel and Thomas H. Davenport (2013)
“With predictive analytics, millions of decisions a day determine whom to call, mail, approve, test, diagnose, warn, investigate, incarcerate, set up on a date and medicate. By answering this mountain of smaller questions, predictive analytics combats financial risk, fortifies healthcare, conquers spam, toughens crime-fighting, boosts sales and may in fact answer the biggest question of all: How can we improve the effectiveness of all these massive functions across business, government, healthcare, non-profit and law enforcement work?”
The CIO Paradox: Battling the Contradictions of IT Leadership by Martha Heller and Maryfran Johnson (2012)
“As a CIO today, you need to be out in front of the business, envisioning the way your customers will use mobile technology and other emerging technologies to interact with your business three years from now. You are certainly not alone out there in front. You have sales, marketing, and other departmental executives, you drag with you, like cement shoes, the technology decisions your company made fifteen years ago, before you even came on board. The head of sales couldn’t care less how your products were sold fifteen years ago, but you cannot be so cavalier about the past. The paradox? As CIO, you are your company’s futurist and its archivist.”
Precision Marketing: Maximizing Revenue through Relevance by Sandra Zoratti and Lee Gallagher (2012)
“We are coming full circle. One hundred years ago, the owner of the corner store knew your name, knew your preferences and made personal recommendations. He or she might even have given you store credit or filled you bag for you. Then we entered the era of mass communication and mass production. Madison Avenue advertisers relied on mass media to reach us with messages that had mass appeal. Now we seem to be returning to an economic environment in which buyers expect to receive personal treatment for their product and service providers. Relationships matter again and can become even more successful when they are relationships built on rich databases and mediated with advanced communications technology.”
Too Big to Ignore: The Business Case for Big Data by Phil Simon (2013)
“Today, organizations no longer operate in a world in which only traditional data types and sources matter. The fact that many organizations choose to ignore other forms of sources of data doesn’t make them any less important. The timing of Big Data could not be more propitious. Big Data and its attendant tools allow organizations to interpret previously unimaginable amounts and types of data, and the most progressive organizations are harnessing significant value in the process. Yes, there is a signal to go along with that noise. Big Data allows organizations to find potential gold in the petabytes of tweets, texts, Facebook likes, blog posts and related comments, podcasts, photos, videos and the like.”
Data Science for Business: What you need to know about data mining and data-analytic thinking by Foster Provost and Tom Fawcett (2013)
“There is a fundamental structure to data-analytic thinking, and basic principles that should be understood. There are also particular areas where intuition, creativity, common sense, and domain knowledge must be brought to bear. A data perspective will provide you with structure and principles, and this will give you a framework to systematically analyze such problems. As you get better at data-analytic thinking you will develop intuition as to how and where to apply creativity and domain knowledge.”
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