Big Data Management and analytics is one of the biggest obstacles today’s organizations must overcome as a part of their digital transformation initiatives. It’s estimated 2.5 quintillion bytes of data are actively produced daily – and this number is growing faster than ever before. In fact, experts predict it won’t be long before 1.7 megabytes of information are created globally – every second of every day! This information is the foundation upon which meaningful business, customer and market intelligence is built.

Leveraging in-depth analysis, organizations are empowered to better serve customers, predict market trends, and create new efficiencies. This is why investments in data and analytics strategies are growing dramatically – with 70 percent of IT decision-makers naming it their highest IT priority. Yet comprehensive analysis isn’t as easy you might think.

Tackling Big Data Challenges

As organizations begin developing their big data and analytics strategies, they often run into roadblocks in the following areas:

  • Data Collection: One of the first challenges that enterprises need to address in developing their data management strategy is data collection. Effective data collection requires capacity to capture data from disparate data sources. The storage solution must handle data from both internal and external sources for comprehensive queries and usability.
  • Data Science Expertise: Big Data also requires a skilled talent pool to develop the strategies that turn data into actionable insights. Most organizations don’t have the resources on staff and find it challenging to hire skilled experts to build a team of qualified data scientists.
  • Data Security: And of course, there’s the ever-present threat of hacking or data theft, mandating an integrated, end-to-end security infrastructure guarding against both internal and external threats.

It is important to be prepared and proactive about these challenges and consider options that will help you achieve your desired results more quickly.

The Benefits of BDaaS

One of the approaches being adopted more widely these days to solve these challenges is Big Data-as-a-Service (BDaaS). Injecting agility and elasticity into the organization, BDaaS solutions streamline data warehousing capacity by placing workloads in the cloud, while facilitating extraction and analysis. Driven by cloud technology, the service eliminates complexity associated with collecting data from external data sources – supporting incorporation of data sets from social platforms and accelerating IoT initiatives. The ideal solution is also reinforced by advanced security architectures and encryption methodologies to protect information at every level. BDaaS solutions also facilitate better data governance – supported by auditing, data lineage and unified technical metadata across the cluster.

There’s no simple path to take for your Big Data journey, but CenturyLink is here to help make it easier. In our newest Webinar, I’ll look at the Digital Transformation and demonstrate how new offerings like CenturyLink Big Data as a Service (BDaaS) and Managed Cloudera Services can transform business operations.

Learn more about our partnership with Cloudera, designed to advance analytics in the cloud and enhance agility and elasticity across your organization. Fully supported by bare-metal servers, the CenturyLink BDaaS offering is finally making Big Data and Advanced Analytics more attainable than ever before.

Don’t miss out. Register today for this in-depth session – and let CenturyLink help you fast-track your path to real-time analytics!

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