By Sanjib HomChaudhuri, co-founder and vice president of product and marketing at Cancun Systems
Cloudwick is the leading provider of bimodal digital business services and solutions to the Global 1000 with an impressive client list including Walmart, T-Mobile, Visa, and Bank of America. We are pleased to be working with Cloudwick and I had the pleasure of speaking with Cloudwick CEO Maninder Chhabra about tech trends, Big Data technologies, customer issues, and more.
Q. Data continues to explode and enterprises are embracing Big Data technologies. Tell us about the trends you are observing from the front lines.
Our customers want to emulate the successful data-driven companies who are outperforming the competition by effectively mining massive quantities of data for better decision-making. The first thing customers ask is whether they can get parity with their existing data warehouse, but on a Big Data cloud platform for analytics. Second, once they realize this can be done, they demand better performance, whether it’s for graph analysis or predictive analytics. And finally customers ask “can you future-proof this for me?” This is the trend we’re seeing day in and day out.
Q. What are you seeing in terms of the cloud?
In the last three to four years, the time-to-value for cloud technology has accelerated considerably. Customer concerns about cloud security, reliability and lack of control have gone by the wayside. Now we’re seeing companies expand deployment in the cloud rather than on-prem. Fortune 500 companies that want to expand capacity while preserving their existing investment are adopting a hybrid cloud approach. The cloud offers a great value proposition in terms of time-to-value.
Q. What are some common industry vertical use cases you are seeing?
In the retail space, supply chain management, price optimization, online recommendation engines, and especially Customer 360, are big. The customer journey involves multiple touchpoints, whether it is walking into a store, shopping online, or hearing a radio ad, and retailers want to track customers’ interactions with their products.
In financial services, we’re seeing Customer 360 and fraud detection. Many customers are offloading data from their enterprise data warehouses to cheaper Hadoop environments. In fact, this move to Hadoop is common across all verticals and was the predominant trend until 2016.
It’s interesting to note, however, that the Hadoop or Spark stack is becoming inconsequential. Customers are instead focusing on outcomes and we’re seeing more solutions-based use cases like cybersecurity and fraud detection. As a result, our company is evolving to be much more solutions-focused.
Q. What are the challenges around time-to-insight? How would businesses benefit if time-to-insight could be accelerated by 2X or 5X or 10X?
Organizations are overwhelmed with data, yet data can bring tremendous value to a company if effectively mined. I spoke earlier about organizations who are simply trying to offload their data into a new environment and gain parity. For these companies, time-to-insight may not be as important initially. But for companies that are use case driven, time-to-insight is critical and any degree of acceleration can have a significant impact on the bottom line.
Let’s look at the perishable goods supply chain as an example. Data is available that allows retailers to see the time stamp for every step in the process as goods travel from the fields, to the warehouse, to the retail level, etc., in order to optimize the supply chain and minimize product deterioration. If even 5 percent of perishable goods can be saved through better data analytics, this can have a huge impact on the financials in a segment with razor-thin margins.
Q. Tell us what attracted you to Cancun’s MemoryLake solution?
Customers are placing more emphasis on processing data at speed. Compute and storage resources are no longer the limitations they once were. Today, the bottleneck is memory.
Cancun has built an awesome technology that removes the memory bottleneck from Big Data infrastructures. We have seen 10X faster time-to-insight using MemoryLake. For us and our customers, that acceleration translates into a major competitive differentiator. Getting “signals out of the noise” is the top driver and the ability to do this quickly is far-reaching.
While most environments have a ton of storage – 8-12 petabyte drives – if you try to compute that much data [in reduced infrastructure footprint], it’s nearly impossible unless you have a Cancun-like solution. Once you remove the memory issue and speed up applications, you need a much smaller [hardware] footprint. For example, it may take 20 servers to analyze one petabyte of data due to the overwhelming demand for memory capacity. But Cancun allows you to do the same job using only a fraction of the servers and the cost savings are significant.
Thank you, Mani, for your insights and perspective on the market. We look forward to working with Cloudwick to enable customers to more quickly detect “signals out of the noise” and gain an immediate competitive advantage through Big Data technologies. – Sanjib HomChaudhuri