In our recent webinar, How to Scale BI & Analytics with Hadoop-based Platforms, Boris Evelson, Vice President and Principal Analyst at Forrester joined Priyank Patel, our CPO and co-founder, to discuss the importance of business agility in big data.
We asked webinar participants where they are with their big data deployment. Of those who responded, 63% had already made a commitment to big data in one form or another, whether it be developing a strategy, piloting a program, or deploying some sort of solution based on a defined use case.
The importance of business agility
Boris began with a discussion of the difference between an insight driven and a data-driven business. Too often, IT professionals are concerned with technology for technology’s sake as opposed to seeking the insights that can be derived thanks to big data technology. When users are data-driven, often their only concern is more data. Becoming insight driven means caring about the data that matters, and performing meaningful analysis.
We are no longer in the age of information, but have moved on to the age of the customer. It is increasingly important that we have a 360-degree view of our customer, not only to understand them but to anticipate and address their needs. Thus, the insights available to us based on our analysis of the data available are more valuable than the raw data itself.
So what affects business agility? According to Boris and Forrester, there are 10 dimensions to business agility including market responsiveness, change management (how teams and businesses are affected by organizational and technological changes), business intelligence, and software innovation. The more aware organizations are of these elements, and the more they execute business based on them, the more formidable they will be.
The four V’s (volume, variety, velocity, variability) are great in theory, but they don’t offer actionable insights. Moving forward, everything needs to be actionable to serve that Customer 360 view.
How Arcadia Data addresses business agility
During Priyank’s discussion, he expanded on Boris’ points about business agility, focusing on how Arcadia Data addresses this need. The answer is creating a data native architecture that puts data users (those who need to generate insights) in direct contact with the data they need.
We asked webinar attendees how they plan on giving users the access they need to analyze their data. A third of the participants said they use Hadoop-native or distributed BI platforms. We see that number increasing steadily over time.
Priyank mentioned current challenges with BI tools such as big data fidelity loss, issues with data summarization, the lack of access to real-time data, high security risks, operational complexity, and high total cost of ownership (TCO) using multiple systems. Moving to a data-native architecture minimizes, and in some cases eliminates, these challenges. When users leverage the permissions available within data storage, it allows for more scalability.
He went into detail in this webinar on how Arcadia Data eliminates the dependency on cubes, and thus makes a more immersive experience where platforms like Apache Hadoop can be viewed as data streams. Real-time data is constantly funneling into the data storage platform, and users can derive meaningful insights and take immediate action without delay.
Watch the full webinar here to learn what else Boris and Priyank have to say about business agility, scaling BI, and Hadoop-native platforms.
Thanks to everyone who attended our webinar. We hope you’ll join us for our next webinar on Tuesday, March 21: Make Big Data Work where we talk about the 4 keys to big data success with a few of our partners.