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Keeping big data projects aligned with long-term objectives

Rachel Wheeler Archive

Although the rapid proliferation of information and digital resources is giving companies a unique opportunity to augment operations and improve customer service, many organizations are encountering challenges because they are not emphasizing the importance of data quality. If organizations want to keep pace with today's highly competitive private sector, decision-makers need to succeed where other firms have failed.

Big data is among today's most highly decorated IT initiatives, giving companies with the right strategies an edge in several critical departments, including address management and customer experience. A recent report by Information Management highlighted how today's "age of internet exploration" is causing a revamped enthusiasm in business intelligence solutions that can provide insight into short- and long-term corporate endeavors.

To successfully embrace big data projects, however, executives need to take a step back and use a holistic view to plan the initiatives carefully, Information Management said. After all, there are a number of components that go into any well-defined IT strategy and missing even one can introduce substantial challenges that can impact operations and performance.

Breaking down the big data phenomenon
Information Management noted that firms will likely encounter significant hurdles if they do not establish a clear framework that defines how employees will effectively carry out tasks when using big data. For this reason, executives should take the time to map out their projects based on industry best practices and the way their particular organizations operate.

Businesses should also consider breaking down big data initiatives into smaller, more manageable tasks, the news source stated. This means that some employees should focus on customer analytics, while other prioritize data quality and address management practices. After these small-scale operations are carried out efficiently, decision-makers can expand the projects into company-wide strategies.

A separate report by Inc Magazine said decision-makers also need to consider the outcome when adopting a big data project. If these initiatives are implemented without first thinking about long-term objectives and realistic outcomes, they will likely crumble and fail before producing any real results.

While today's business world is highly competitive, big data can help level the playing field and improve operations in companies of all sizes. By planning ahead and prioritizing certain aspects of the strategies, executives can be sure their big data endeavors end in success and provide real-time advantages.

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