Significant trends in information technology (IT) infrastructure continue to revolve around artificial intelligence (AI), machine learning, realities technologies, Internet of Things (IoT), robotics, cloud computing (see IT Trends for 2019), and more. Engaged IT leaders recognize these technology futures are not productive without the means to ensure their success. A data-driven focus is required in order for companies to maintain a modern IT infrastructure: real-time, broad-range data collection and analysis, current data management tools, and best practices from internal data sharing and usability.
Data Collection and Analysis
IT leaders are never done. Continuous upgrades to technology foundations are critical if businesses expect to grow and advance. Leaders must continue to research and integrate analytics initiatives at the risk of falling behind in such a competitive marketplace. The data collection and data analytics you performed a year ago may not suffice today. In fact, you may have current information but not have the resources to benefit from it. In a recent Forbes article, Council Member, Christian Ofori-Boateng, writes, “Business intelligence is only as intelligent as the data that goes into it … and only as smart as the people using the data.” He goes on to differentiate business intelligence from data analysis, “… analytics is geared more toward future predictions and trends, while BI helps people make decisions based on past data.”
Data Management and Analytics Tools
When companies are more focused on specific problems they need to solve, finding the right data management tools is more likely. Well-managed data is in turn reliable and useful, a significant resource for savvy IT analysts. Staying current in data management and analytics tools and technology is shown to reduce risks and increase productivity when used correctly.
The broad range of analytics tools leaves decision-makers with some interesting challenges, but there are internal solutions along with customer-facing solutions that can be programmed to provide the data needed to improve processes and streamline activities. Data management and analytics tools are in fact so important that they literally allow companies to make even greater investments in modern IT technology to strengthen their position in the market and take their companies to new heights. Companies should not wait to upgrade their data management and analytics tools.
Data Sharing and Usability
Once IT leaders have valuable data and business intelligence (BI) for trusted results, it is important to be able to share and use the data in the most effective methods possible. Data and analytics must always be in real-time, highly accessible, and in the most visual formats possible. Without this sharable and usable data, in a format your staff members can read and understand, no modern tools or technology will solve problems. Staff members need efficient and timely on-demand summaries of the specific data they require to make immediate short-term or long-term decisions. For example, viewable dashboard-style menus and real-time data are critical when you are performing online banking tasks. If they weren’t, you would not log in to access your data or make an important decision. Excellence in data sharing and data usability is a top concern for today’s companies and particularly IT organizations.
Modernize Your IT
In an effort to modernize your IT, the process may be as simple as upgrading some key components within your IT infrastructure: networking, data management, and analytics tools and systems. Your charter may be as simple as automating some of your servers or software processes using a reliable IT managed services company like RackCo for server support, remote backups, private cloud services, and VoIP PBX phone solutions.
Whatever your company IT needs, a data-driven focus is significant for integrating with existing and incoming IT trends. You may not need to upgrade your IT infrastructure to include every trending system, but you do need the best data management systems that are compatible with new technology. You need a modern IT infrastructure to handle technologies you depend on such as machine learning, cloud computing, or business intelligence.