SAP HANA provides a platform for all business processes and greatly increases efficiency while addressing new challenges that companies face in today's global marketplace. As the most popular S/4HANA continues to expand into areas previously known only by the largest and most successful companies, HANA is setting new performance standards. This article discusses how HANA can … [Read more...] about 7 Reasons to Be Thankful for S/4HANA
Big Data
Learn everything you need to know about big data. Find out how companies are using this revolutionary technology and what it means for your business strategy.
When Pristine Data Isn’t Pristine
The data that you consider pristine and absolutely perfect for its intended use can turn into an absolute mess overnight if the data is used in a different way. While it isn't common, there are cases where the current uses for data aren't impacted by a major underlying quality issue that, if not identified, can totally corrupt a new use of the data. No matter how clean you … [Read more...] about When Pristine Data Isn’t Pristine
How To Improve Your Omnichannel Marketing Strategy
An omnichannel marketing strategy can greatly increase revenue for firms. But neglecting to implement one can seriously hurt sales potential.Retailers can enhance their current omnichannel approach. This is possible through comprehending consumer journeys. Also through creating individualized experiences, consumers favor buying across numerous platforms. Each cross-channel … [Read more...] about How To Improve Your Omnichannel Marketing Strategy
How to Create a Successful Data Center Preventive Maintenance Strategy
Recent research concerning data center preventive maintenance, performance and downtime paints a positive picture of current trends. It also highlights why serious attention is still necessary in these areas. Findings published by Uptime Institute show data centers across the globe experienced less downtime in 2021 than in 2020 - but when they did, the consequences were more … [Read more...] about How to Create a Successful Data Center Preventive Maintenance Strategy
6 Reasons Why Companies Fail at Data Governance
This article was written with Teresa Kovich, Principal Consultant at Das42. Everywhere we go in the cloud data space today, we're hearing one message loud and clear: "you should be thinking about data governance". It's a sentiment that we wholeheartedly endorse, but we like to take it a little bit further - you should be thinking about data governance differently. In this … [Read more...] about 6 Reasons Why Companies Fail at Data Governance
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What is big data?
Big data is a term that refers to the massive amount of digital data created and shared every day. Big data can transform how we live, work, and communicate. It can be used to improve everything from public health and urban planning to business and marketing.
Big data is also changing the way we think about privacy and security. The volume, velocity, and variety of big data present challenges and opportunities for organizations and individuals. Regardless, big data is here to stay, and its impact will only continue to grow in the years to come.
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What is big data analytics?
Big data analytics is the process of turning large, complex data sets into actionable insights. Businesses use various analytical tools and techniques, including machine learning and statistical analysis, to do this.
Big data analytics can be used to improve decision-making in areas like marketing, operations, and customer service. It can also be used to identify new business opportunities and optimize existing processes. With the help of big data analysis, businesses can gain a competitive edge by using their data better.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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When was big data introduced?
The term big data was coined in the 1990s, with some giving credit to John Mashey for popularizing the term. However, the concept of big data has been around for much longer.
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Where does big data come from?
In the early days of computing, scientists and businesses began to realize that the amount of data being generated was increasing exponentially. As a result, they began to develop new methods for storing and processing data.
Over time, these methods have become increasingly sophisticated and have played a key role in enabling businesses to make sense of vast amounts of information. Today, big data is used in various industries, from retail to healthcare, and its importance is only likely to grow in the years to come.
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What are examples of big data?
One of the most common examples of big data is social media data. With over 2 billion active users, Facebook generates a huge amount of data every day. This includes information on user interactions, posts, and even location data. Analyzing this data can help companies better understand their customers and target their marketing efforts.
Another example of big data is GPS signals. These signals are constantly being generated by devices like cell phones and fitness trackers. When combined with other data sets, GPS signals can be used to provide insights into everything from traffic patterns to human behavior. Finally, weather patterns are another type of big data set. By tracking these patterns over time, scientists can better understand the impact of climate change and develop strategies for mitigating its effects.
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How do companies use big data?
Companies use big data in marketing, product development, and customer service. By analyzing large data sets, businesses can identify patterns and trends that would be otherwise difficult to spot. For example, a company might use big data to track customer behavior patterns to improve its marketing efforts.
Alternatively, a company might use big data to improve its products by identifying areas where customers are most likely to experience problems. For instance, big data can be used to improve customer service by finding pain points in the customer journey. Ultimately, big data provides companies with a valuable tool for gaining insights into their business operations.
