“My first big mistake was calling it big data,” said George Hamin, director of eBusiness and information for Subaru Canada. “Their eyes just glazed over.”
Hamin was recalling the puzzled looks he got from some bosses when he first brought up the idea that the automaker dipped its toes into the big data lake. This was probably before all the hype in the media about big data and many executives were still unfamiliar with the term.
From an IT perspective, he said, Subaru was very good at determining what type and colour of cars were selling but the insight was more “backward looking” because it was based on figures from sales that have already transpired. Hamin wanted to introduce the use of predictive analytics and big data.
Subaru’s data-drive, predictive analytics strategy is now underway. What Hamin is saying though is that, just like driving, you need to ease up on the gas once in a while.
“What I should have done was just call it the next stage of BI (business intelligence),” Hamin joked.
Times have changed since then. Hamin said this is the best time for a company to go into big data. There is more awareness, there are more providers and prices for solutions have gone down considerably.
Hamin was part of a panel that spoke about big data strategies at the Microsoft Big Data Debate event in Mississauga, Ont. The discussion touched on the benefits of big data analytics as well as the challenges of getting buy-in from company leaders.
With big data, sometimes the biggest hurdle is not achieving success as it is getting people to have confidence in it. It’s not always easy to get people to trust insights from pulled from models based on data coming from all sorts of sources including sensors, emails, and even social media chatter.
It’s very likely that proponents of the idea will encounter business leaders still steeped in traditional methods of obtaining market intelligence.
Chart a roadmap for the big data journey
“Sometimes you’ll get reactions like ‘I don’t believe the projections made by that model,” said Gayle Ramsay, vice-president of analytics, marketing and strategy at Bank of Montreal (BMO). “…What we are doing is to find a balance…make it less fearful…help them along the big data journey.”
Ramsay said big data proponents need to come up with a big data roadmap.
“Determine where you are going, decide how you want to get there and how you can acquire the resources needed – then you can get funding,” she said. “But don’t lose sight of your long-term goal.”
Focus on data that counts
In order to win over decision makers, it’s important to determine the main goals of the organization, said Richard Boire, founding partner of Boire Filter Group, a data management and marketing analytics consulting firm.
In fact, he too has a problem with the term big data. Boire said companies should focus only on the type of data that has relevance to their organization, market or campaign. Rather than trying to sell decision makers on big data, he said the focus should be in “identifying the types of data that matter” to the company and its goals and then analyze and obtain insights from that.
Utsav Arora, analyst for big data and analytics at IDC also recommends caution.
“There’s so much happening around big data and there are a lot of tools in the market to choose from,” he said. “Organizations need to step back and ask the question: What does it mean for me to be a big data organization?”
Don’t let the hype distract you, he said.
Consider appointing a Chief Data Officer
For some organizations, it might be useful to appoint a person or office that will take responsibility for big data projects, said Arora.
“Initially big data was handled by the tech department, but that is slowly shifting away to line-of-business,” he said.
This could produce friction in some companies so it is ideal to clearly delineate who will be responsible for big data. He said in many of the successful companies, IT and line-of-business collaborates on big data and report to a chief data officer.
Mohannad Eli-Barachi, chief executive officer of SweetIQ, a local search marketing platform based in Montreal, believes big data can win more adopters if those backing it can provide decision makers with “real actionable insights.”
“You need to produce insights that can be acted on, not just information,” he said. “You need insights that will produce results that will boost business, improve process or awareness or improve customer experience.”