Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results.[read more]
The social media industry has grown leaps and bounds in the past decade, but some challenges have persisted. Major networks such as Facebook have struggled to meet revenue targets. Facebook’s IPO stock price was based off revenue growth figures that have failed to materialize over the past few years, raising concerns that the site couldn’t monetize its users as well as analysts hoped.[read more]
Mobile technology is positively affecting businesses across the globe, allowing for real-time data transmission, instant collaboration, and the ability to access key business metrics from just about anywhere. With mobile supply chain applications, business owners in the food and beverage industry have greater insight into their everyday workflow – accessing data on the fly, enabling them to make better decisions faster.[read more]
I was on a panel for the news media community at the Teradata Partners conference a few weeks back. Our discussion centered upon how marketing is changing in today’s big data world. As the discussion started, something hit me like a ton of bricks. Namely, doing marketing across all channels is not at all the same as true omni-channel marketing. While it sounds like a semantic game at first, I will explain why it is much more than that.[read more]
Sophisticated modern businesses like banks and insurers are data rich. Data is fundamental to their business effectiveness and efficiency. However, data is not just relevant to the business processes that create it. Many classes of data are essential outside of their main business purpose. This may be for internal reporting and analysis, for use by other applications or for exchange with third parties.[read more]
Nearly every business strategy introduced these days usually includes some form of big data analytics. This has led to an explosion in the amount of information available to companies and institutions. Never before have they been able to access so much data based on so little criteria.[read more]
Predictive analytics is one of the biggest trends in business today. There are many companies investing time and money into this area of their business. However, there is also a lot of new technology coming out in this sector of technology. Predictive analytics takes big data one step further.[read more]
We would like to share our short analysis on how the idea of Predictive Analytics & Big Data have changed over time and how we see the future of it. We focused on sectors interested in data, available software and skills needed to effectively analyze the data.[read more]
Analysts and data scientists continue to discover new ways to store more data and make our queries run faster, but the additional complexity of more data very quickly outpaces our ability to create more and better queries. The No Query approach requires that the algorithm computes the queries and ranks them based on relevance (like Google’s page rank algorithm).[read more]
These days there are a variety of uses for big data. Advertising companies use it to understand and target customers. Elite sports teams analyze player performance. In the financial world, traders analyze it to make money. While that’s all well and good, there are other ways big data is used that are, arguably, more important.[read more]
Big data is increasingly viewed as the new currency in business—and making the most of the value it holds is the key-to-the-kingdom that organizations are seeking to optimize business results. In order to do that, they need the right experts to fill the big data gap within their organizations. But who are those experts?[read more]
Online retail in the United States is expected to reach $400 billion by the end of next year. Although this is less than eight percent of the retail industry, the numbers are still big enough to disrupt the status quo. Apart from factors like convenience and price, one reason why ecommerce has been able to disrupt the traditional retail model is its ability to play with data.[read more]
Big data has brought exciting changes to nearly every commercial industry, but none as great as an improved ability to predict the future. Of course, companies can’t forecast exactly what will happen a few years from now, but they can get a pretty good idea how to adjust their strategies in order to keep up with future demand.[read more]
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