• IntellectSpace Team

Looking Forward: Relationship Mapping’s Place in the Big Data Revolution

By Zach

Big Data Now

Big data is the next frontier for innovation, competition, and productivity. So much can be said for what big data has done for our society already: the ability to identify business trends, prevent diseases, combat crime, and determine real-time roadway traffic conditions. All have reshaped our world and will continue to do so. Our society, our economy, and the way we think looking forward will be influenced by big data.

Big data aims to effectively capture, curate, store, search, transfer, and analyze large sets of data in a tolerable amount of time. Capturing data to effectively advance an organization’s initiative is what big data pioneers worldwide are trying to capitalize on.

The question many of the world’s decision makers are facing today is where their organizations fit. Quite simply, how can big data help me?

If you are a fundraiser or researcher for a hospital, foundation, or university, the need for big data is there. Accordingly, if an enterprise wants to advance its overarching initiative, there is no better place to turn than big data.

Take MetLife for example, one of the most profitable companies in the world today. Gary Hoberman, global business CIO at MetLife, said, “Lots of companies are saying ‘let’s invest in big data,’ but we started with the question, ‘what’s the use case?’ Big data happened to be the answer to solve the problem of knowing customers better.” MetLife’s answer was to capture a better understanding of customer information by collecting data from Facebook. MetLife examined “Facebook Wall Likes” to identify trends. The vendor, MongoDB, gave MetLife crucial information to better understand its customers, Doug Henschen of InformationWeek reports:

This unique ability afforded to organizations by big data is just one of many ways big data can advance an organization’s initiative. Big data allows you to approach problems in a way never before. It allows you to advance your initiative, increase productivity, and be a leader in your field.

Big data is a relatively new field, and organizations such as MetLife are just beginning to understand the effect it can have for them. And organizations that are in the business of targeting prospects – i.e., hospitals, foundations, universities, select enterprises – need to find their place in the big data revolution if they want to stay competitive and maximize their productivity. These businesses need to search for innovation. Innovations happen daily in the field of big data. Opportunities seem endless as we turn the page to 2014. One of those innovations as we look to the future is Relationship Mapping.

Targeting prospects with Relationship Mapping

As we look toward the future of big data, how does it fit into the field of targeting prospects? Targeting prospects is something universities, foundations, hospitals, and businesses alike encounter every day. Outside of human capital and knowledge, what can an organization do to make its processes more efficient and profitable?

How productive and competitive an organization is with their human knowledge largely depends on cutting-edge technology – technology that captures data, searches for data, curates data, analyzes data, the list goes on – seeing a trend here?

Relationship Mapping is a big data technology that captures data in a way that is unprecedented in the industry. It delivers relationships among your network – who knows whom, how, and how well. It gives you the tools, when targeting prospects, to be more productive. Relationship Mapping shows you whom to target, giving you the strongest capability of leveraging an organization’s network, and it maps it out in a tolerable amount of time.

Connections among your network and targeting prospects is something that the industry already does. Human capital does an amazing job at identifying relationships and identifying whom to target for donations or business. However, this process takes time, lots of time, which is why Maria Deutscher of SiliconAngle identified two basic needs for organizations to pursue Big Data: “for end users, 2014 will be defined by the pursuit of both functionality and simplicity.” Organizations that lose productivity when identifying relationships need to focus on those needs, functionality and simplicity.

With Relationship Mapping you receive the functionality of identifying relationships in a timely manner. Relationship Mapping’s ability to capture data and analyze it for relationships gives you the functionality needed to be more competitive. It captures comprehensive data sets in a tolerable amount of time for the user. The amount of time it takes to capture the data and identify relationships and whom to target is drastically reduced, making it very functional.

Making things even simpler is how Relationship Mapping portrays its data. Relationship Mapping portrays the captured data visually, mapping out relationships that are easy on the eye, quick to analyze, and quick to act upon.

Both functionality and simplicity envelope Relationship Mapping and big data. It gives organizations and businesses tools to be more productive and competitive. Over the next year, the economy will see a larger flood of new solutions than ever before in the field of big data. Situated nicely as one of the most innovative tools out there is Relationship Mapping.

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