Defining the Data Divide
Defining the data divide
Defining the data divide and harnessing the power of big data to improve decision-making is one of the key tenets of digital transformation. But it’s not an easy task to get right.
One of the most powerful data and analytics tools on the market at the moment happens to be Microsoft Power BI. Sitting in the leading position in the Gartner Magic Quadrant, it’s the new cool for agile analytics and the most popular data player in town. But its ubiquity and capability don’t necessarily mean a business will instantly gain the perfect insight into its data and make strategically brilliant decisions. That depends on the implementation and product mix.
Karabina has won the Data Analytics Partner of the Year award 12 times because it understands the value of data and the tools required to really work with the data itself.
The company has crafted solutions using high-profile, relevant technologies such as Microsoft’s Azure and Power BI. The goal is to create applications that are agile and intelligent enough to support organisations as they dive into the oceans of data they possess. Using Power BI and Azure, among other applications, Karabina creates data warehousing and cloud solutions that extend data access and manageability within a solid and robust environment. Whether in the cloud or on-premise, the solutions are accurate, reliable and timeous.
“People are struggling to make decisions based on their data,” says Ryan Jamieson, data and analytics competency lead, Karabina. “Everyone is talking about how big data is a business imperative, but there are limitations around how they access and interpret it. We collate it in a way that makes sense and present it to our clients with context. This way they can make informed decisions from data compiled across numerous platforms – personal, website, services and more. We support them in drilling down into the data to find the gold.”
BI isn’t something that the business installs and then leaves. Any solution should evolve alongside the organisation, and in this, Karabina excels.
“We help clients to recognise the capability of master data so they can understand their customers a lot better,” says Morgan Jamieson. “By allowing them to understand their data and do deeper analysis into the insights, they have been able to gain improved insights around customers, employees, projects, and product portfolios. The better quality the data, the more useful it is.”
As part of its application, Karabina entered three specific projects into the 2017 Microsoft awards, each one with the golden threads of data and cloud woven through implementation and solution. The company has completed hundreds of successful data and analytics projects over the years and its insight into the market and the tools has paid off.
Karabina has followed a clear process – establish what’s going on in the business, capture a clear foothold in the data, use the data to anticipate customer spend or seasonality, take this information a step further towards ongoing goals and strategic business development.
“In addition to developing solutions that blend a variety of different technologies, from Azure to on-premise data warehousing, we do a lot of training and provide corporates with hands-on support,” says Jamieson. “We take our customers on a journey through their data, their capabilities and their end goals. With every solution we work hard to understand our customers so we can anticipate what they need.”
When asked why he believes Karabina’s solutions won the award, Jamieson puts it down to a passion for data and people.
“One of our core values is putting the client first,” says Jamieson. “We look for client success and we work with individual people within client organisations to ensure we’re all focusing on the end goal. We’re not a charity, but we’re not just about making money.”
If you are looking to understand your data, manage and trust it, thenfor a discussion.
This article was originally published in the IT Web Brainstorm Supplement, Alpha – Enabling the cloud ecosystem. The article was written by Tamsin Oxford.