Analytics firm Acunote has an impressive clientele that includes tech firms like EMC, IBM, Google Apps and other enterprise such as Bank of America. The company offers analytical solutions that make it easier to manage large workforces and predict where a project is going – now even better thanks to Management Analytics.
Management Analytics is the latest extension to Acunote’s portfolio, and its name reflects its purpose rather accurately. The product aggregates data about the productivity of individual team members or even entire groups, and tracks the progress of a task in real-time. This is all then displayed in the form charts and other simple visualizations, allowing managers to view this data immediately rather than having to wait for it to trickle down from corporate.
“We remove the guesswork out of tracking project progress and predicting when it will be finished,” said Gleb Arshinov, CEO of Acunote. “We capture and analyze the right user data to help create more productive teams, better managers, and successful companies. We empower customers to make smart decisions based on user data, not politics. We call such data insights ‘Management Intelligence,’ our new breed of business software.”
The problem Acunote is trying to solve is the lack of visibility across organization teams and departments, where different data collection methods can be used and the higher-ups have a narrow view of what’s going on across the board. Data visualization is becoming increasingly important in the workplace especially for managers and c-level executives, who need faster access to the data in a format that’s easy to digest.
In many ways, the data gap is being democratized by cheaper computers and services that can run analytics, and this will level the playing field for just about any business or organization in the future. If we all have access to the right data, we can all make smarter decisions, right? As far as business intelligence goes, Acunote wants to take the “politics” out of the decision-making process.
So can data redeem us from the human emotion, that gut-feeling that often plays such a large role in our decisions?
“Yes, it provides input,” says Arshinov. ”There’s a human aspect involved and we’re not trying to change that. But people by nature–look at the way our psychology works. We tend to be overly optimistic instead of seeing how things actually are. But data can make obvious what the real trend is, and it makes it easier to reach the right decision. We want to influence the humans involved.”
Big data analytics is being applies to a lot of areas, from consumer behavior tracking to Acunote’s area of expertise – making management more competent. And this trend is spreading across not only industries but also platforms: as of late MapR has been spearheading an expansion into the cloud.
Shortly after the Hadoop distributor announced it’s making its software available on Amazon Web Services it added support for the Google Compute Engine. The newly launched IaaS was just debuted at the Google I/O conference, and MapR apparently decided it’s going to secure a head start just in case.