The Biggest Pain Points of Data for Organizations Today
Knowledge is power, but is there such a thing as too much information? Who are these organizations? They are businesses with data centres that are not set-up to keep pace with the demands growing information sets are putting on them.
Keeping pace with the demands growing information sets put on them is probably the biggest pain point of data facing organizations today but this isn’t the only pain point of data for organizations. Other common data pain points include:
- Moving data centers into the cloud
- Integrating and automating the new data center
- Generating insights from available data
Data is growing exponentially and if you don’t have a way to keep up, it’s easy to be overwhelmed and left behind. A sound data-management strategy to deal with this challenge allows you the opportunity to capture this data and then extract valuable insights from it. By making your organization data-driven, valuable knowledge and insight can be readily obtained, greatly improving your chances of leaping ahead of the competition. However, that will only happen once you address the following critical pain points of data your business is like to come across.
Moving Datacenters into the Cloud
According to a new study by Global Market Insights, the Data Center Infrastructure Market, which includes data centre equipment and solutions, is expected to surpass $90 billion by 2024. Despite this growth in demand for data centre infrastructure, many organizations are struggling to keep pace with business needs, which indicates that data centre equipment and solutions are not the ideal data management solutions.
Organizations need a data management strategy and solution that provides them with the ability to manage data, with the flexibility to add computer power and storage capacity quickly when needed. Moving data centres into the cloud is the answer – ensuring scalability that is reliable and does not require the addition of more staff and infrastructure. Moving data centres into the cloud is the answer. To ensure a smooth transition, organizations must work with trusted advisors to design a solution that works best for them as they bring their data centres into the cloud
Getting Up to Speed with the Emerging Role of Automation
,p>Gartner says that Enterprise software’s days are numbered. According to Milind Govekar—the Vice President of Gartner Research, “By 2020, 30 percent of data centres that fail to apply AI and machine learning effectively in support of enterprise business will cease to be operationally and economically viable.”
In the future, AI and machine learning are expected to provide agility to automated processes in the data centre, which will be the next significant step for automation. The automation of business processes within the data centre saves money and eliminates error-prone manual processes by ensuring a more efficient use of resources. More importantly, it minimizes complexity, facilitates product development and supports global expansion allowing your organization to grow in a controlled way at its own pace.
While transitioning to an automated data centre may seem complex and daunting, it may soon be the only viable option you’ll have in the coming years. Get ahead of the curve by starting today to make the transition to data centre automation smooth and less painful.
Generating Insights from Available Data
Not too long ago, businesses relied on their gut feeling to make decisions. This no longer suffices. A common complaint from organizations today is not being able to generate meaningful business and consumer insights from available data. While businesses are inundated with data from numerous sources, they are also struggling to extract actionable information to drive decisions and create meaning from it.
One way to alleviate this data challenge or pain point is using technology to balance data and insights. The use of technology and tools that provide powerful data analytics will help you to unlock insights, which is exactly what you want.
If you want to find new and better ways to transform your market data into market intelligence that you can use, please contact us.