Back in June, we reported that 45 percent of marketers admit to struggling with big data, and don’t believe they can interpret it effectively or use it in any measureable way. Today, a survey released by Cloudmeter revealed perhaps even more alarming results.
Although capturing customer data is important to a majority of organizations, many companies are experiencing significant challenges with their current data capture and processing solutions—these challenges, companies say, significantly limit insight into their users’ experience and behavior.
According to the results, 68 percent of survey respondents said their current data capture and processing solution does not capture all of their valuable user data; over 75 percent said their current solution does not capture and analyze data in real time; 59 percent said their current solution has a negative impact on their website performance; 84 percent said their current solution requires additional coding from their development team; and 73 percent said their current solution is not cloud-friendly.
But why is big data such a big mess?
At Cloudmeter, for one, they believe that in order to succeed, today’s businesses must be able to understand their customers’ experience and behavior. This means tapping into Big Data sources and leveraging that data to gain critical insight. Because analytic solutions are only as good as the data in them, the need for rendering high-quality data is greater than ever. Organizational roadblocks and technology limitations have left many brands struggling to feed their analytics systems with quality data. Further, analytic solutions alone are not enough. They lack the step-by-step blueprint of the customer experience that can reveal critical behavioral insights. As a result, data and resulting analytics and insights are often misleading, incomplete and inaccessible because of a lack of good data.
The best way to combat this issue is to make valuable customer information accessible, available and useful for those who are in charge of end-users’ experience, whether their applications run on public or private clouds or within their internal networks. Cloudmeter is finding a way to make this happen.
With their solution, any company can gain real-time access into the wealth of business and IT information without introducing risk to production systems or application performance. And, Cloudmeter’s zero coding approach and ease of implementation allows customers to focus their efforts on analyzing the results, rather than spending time and resources on administrative tasks.
Cloudmeter is tackling another issue plaguing big data as well—the risk customer experience data capture tools may pose to production systems and website performance. Cloudmeter Stream and Cloudmeter Insight can get around this risk, and help customers ‘harvest’ this valuable information by passively mining real-time Big Data streams generated by web applications, all with no impact on production systems.
While interpreting big data remains a challenge for many, the market for cloud-friendly, real-time solutions that don’t interfere with website performance is ripe and Cloudmeter is stepping it up.