Moving Data From the Basement to the Boardroom

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Moving Data From the Basement to the Boardroom

It’s prime time to consider putting data at the top of your business agenda again. Read on to learn how.

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According to IDG, 35% of companies with effective data grow faster year-over-year; however, many still take little notice of data quality or ongoing data management, pushing it into the deepest corners to eventually be abandoned and forgotten.

If this sounds like you, it’s time to consider putting data at the top of your business agenda again.

Big Data: A Neglected but Important Aspect of Business Survival

As stated in Forbes, more data has been created in the past two years than in the entire previous history of the human race. This has led to the phenomenon known as big data. However, while we know its importance today, things weren’t so peachy a few years back. According to s report from Pricewaterhouse Coopers (PwC), even in 2015, only a small percentage of companies reported effective data management practices.

Moreover, the report found that while 75% of business owners were “making the most of their information assets,” while only 4% were set up for success. This was due to lack of tools and in-house knowledge of an effective data management, as well as disparate data sources. Overall, 43% of companies surveyed “obtain little tangible benefit from their information,” while 23% “derived no benefit whatsoever.”

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The Dangers of Poor Data Management

Having no data strategy is an ongoing problem that plagues businesses today. And if you don’t take steps to improve your data management, there could be serious consequences.

Big data has taken its place at the boardroom table. While traditionally seen as an unnecessary burden that is difficult to manage, data is finally being seen as an important tool helping business grow and increase profitability. But what has changed?

GDPR

General Data Protection Regulation (GDPR) is a new data privacy law coming into effect in May 2018 and is set to overhaul how businesses process and handle data. With fines as high as €20 million or up to 4% of global turnover for noncompliance, the regulations have become a priority for business to review processes and systems for data protection. Check out this article on GDPR compliance for more information.

The Age of the Customer

Customers now have the ability to define your company’s success in a matter of seconds. Their expectations are changing and there is no doubt that the digital age has transformed the way they shop. There is no going back to a pre-web mentality if you want to remain Agile — satisfied customers spend more. This is where the importance of data comes in, allowing you to not only target customers with the right message at the right time but also to create lifetime value, preventing them from switching when a competitor offers a better price.

From Discovery to Action: Master Data Management

Once you acknowledge the elephant in the room, it’s time to understand all facets of data: what data currently exists, what data they can get, how to organize it, and, most importantly, how to put it to use.

The best way to start is to implement a robust, enterprise-wide master data management (MDM) strategy to ensure the uniformity, accuracy, consistency, and accountability of data assets. It is a foundation for a data-first strategy that aligns with business objectives to support growth, profitability, and customer retention.

As we discussed here, the average business uses up to 13 different applications; therefore, data is scattered among disparate systems. This results in poor communication between departments, systems, and processes, leading to an inability to meet your clients' needs and business goals.

MDM breaks those siloes by creating a central source for accurate fully cross-referenced real-time master data. It must seamlessly integrate with all data warehouses, business management applications, and business intelligence (BI) systems to bring the right information in the right form to the right person at the right time.

How to Get There?

Find the perfect platform for a scalable self-service model to manage Big Data workloads in the Cloud. Download the free O'Reilly eBook to learn more.

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Topics:
big data ,data analytics ,gdpr ,data management ,quality data

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