Price: $49.95 – $35.21
(as of Dec 28,2024 06:14:19 UTC – Details)
Publisher : Wiley; 1st edition (September 29, 2014)
Language : English
Hardcover : 304 pages
ISBN-10 : 111887367X
ISBN-13 : 978-1118873670
Item Weight : 2.31 pounds
Dimensions : 6.1 x 1.2 x 9.1 inches
Customers say
Customers find the book provides useful insights into Operational Analytics. It is an excellent guide for navigating the hype around Big Data and Operational Analytics. The examples are well-explained and illustrate the dos and don’ts of the corporate world. Customers describe the writing as straightforward and conversational, making it easy to follow.
AI-generated from the text of customer reviews
In today’s data-driven world, businesses are constantly looking for ways to gain a competitive edge and drive growth. One of the most powerful tools at their disposal is analytics. By harnessing the power of data and using advanced analytics techniques, companies can uncover valuable insights that can help them make more informed decisions, optimize their operations, and drive better business outcomes.
However, many businesses struggle to fully realize the potential of analytics due to a lack of operationalization. Simply having access to data and running some basic reports is not enough – to truly leverage the power of analytics, companies need to make it an integral part of their decision-making processes and day-to-day operations.
This is where the analytics revolution comes in. By making analytics operational – that is, embedding analytics into every aspect of the business and using it to drive real-time decision-making – companies can unlock a whole new level of value from their data. This can lead to improved efficiency, increased revenue, better customer experiences, and a stronger competitive position in the market.
So how can businesses make analytics operational in the big data era? Here are a few key steps to consider:
1. Invest in the right tools and technology: To make analytics operational, companies need to have the right tools and technology in place. This includes advanced analytics software, data visualization tools, and data management platforms that can handle large volumes of data in real time.
2. Build a data-driven culture: In order to truly leverage the power of analytics, businesses need to build a culture that values data-driven decision-making. This means educating employees on the importance of analytics, providing them with the training and resources they need to use analytics effectively, and incentivizing them to make data-driven decisions.
3. Integrate analytics into key business processes: To make analytics operational, companies need to integrate it into their key business processes. This means using analytics to inform strategic decision-making, optimize operations, and drive performance improvements across the organization.
4. Monitor and measure performance: One of the key advantages of making analytics operational is the ability to monitor and measure performance in real time. By tracking key metrics and KPIs using analytics, companies can quickly identify areas of improvement and take action to drive better results.
Overall, the analytics revolution presents a huge opportunity for businesses to drive growth and gain a competitive edge in the big data era. By making analytics operational and embedding it into every aspect of the business, companies can unlock valuable insights, optimize their operations, and drive better business outcomes.
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