Data has become an important asset for organizations over the past few decades. Today, businesses find it hard to imagine a time when data wasn't used in core business processes. However, as the value of big data continues to grow, companies are discovering that they need to find ways to handle storage, management, processing, and analysis of it. Many businesses face steep problems as they struggle to find feasible and secure ways to deal with data. Unfortunately, some don't understand that they even have a problem.
Demand for Data is Clear, Solutions Not So Much
The demands associated with data are clear, but the solutions are not so apparent. Many data experts and analysts feel the mass amounts of data flowing through their organizations is overwhelming to their IT resources. For others, it's unknown territory, and they struggle to find solutions to manage and protect their data. This is largely due to the fact that the scope of data has fundamentally changed:
- Amount of data flowing is growing at a rapid pace
- Methods of capturing data have evolved
- Types of data available to collect have expanded
With big data continuously streaming, it's a huge challenge to harness it and subsequently find constructive ways to use it.
Unpredictability of Data
Decision-makers once used data-validated approaches to justify decisions made, however, today's business leaders are data-informed, proactively using the information they derive to make effective decisions. If they don't, it's difficult to remain competitive. One significant challenge is the fact that machines have a different capacity for generating data than humans do. This capacity makes data unpredictable, creating a hurdle for businesses. Here are some obstacles:
- Data may arrive structured or unstructured
- Data can have a long shelf life or rapidly diminish in value
- Optimization of data has grown to be complex
- Data is streamed from multiple types of devices, especially with IoT now in the mix
- Risk calculations are more challenging due to the high value attached to big data
The volatility associated with data often leaves businesses perplexed. Modern streams of data aren't static, so many organizations worry they aren't equipped to effectively capture, analyze, store, and secure it.
A Need to Look Beyond the Current Horizon
Yesterday's technologies were built for static, structured data. Today this approach doesn't quite cut it. Businesses need to look beyond the current technological horizon if they want to remain competitive tomorrow. For instance, artificial intelligence (AI) is on the rise and is changing the dynamics once again. Earlier in 2018 executives who were surveyed on the subject expressed there is a "direct correlation" between big data and AI. A few questions businesses should be asking themselves include:
- Are we able to handle big data?
- Do we understand the value of the data we have?
- How do we find the insights we don't see from our data?
- How can we better understand the benefits we can derive and harvest from our data?
- Do we have a firm understanding of emerging tech?
Existing hardware and software may simply not be able to keep up with the evolution of data. However, those companies that develop a roadmap for managing big data will find it easier to transition, saving them time and money in the long run.
Competitive businesses will need well-versed technical experts who understand emerging technologies and how to help their employers map out their digital futures. Is your company prepared to deal with current and futuristic data challenges? If not, you may want to hire big data talent to help you identify problem areas and find the innovative solutions you'll need for your extreme data problems.
If you think your organization needs more talented people to solve your big data problems, ICS can help. Information technology is at the heart of our business, and our candidates can fill positions at a moment's notice. We have a pipeline of top tech talent ready to fill your needs. To help match our clients with the right people to fill their organization's in-demand positions, we invest our efforts in getting to know our candidates well and building relationships with them. Our philosophy is rooted in a "people first" approach. We rely on collaboration— not automation—to help our clients hire the top talent they need.