The common idiom, “Be as easy as one-two-three” is well embedded into our culture. It denotes that something is easy, simple, or intuitive enough to the point that it doesn’t require a serious amount of skill or effort. In turn, having the capability to break complex projects into shorter, more digestible three-step processes is something that modern professionals desire.
Rome wasn’t built in a day and neither will your next data center. There’s a great deal of complexity and moving parts to consider along with many potential pain points that cause delays. That’s why the design phase is so critical. Whether you are constructing a data center or erecting a building, you need a blueprint to guide your crew throughout the process. A data center blueprint is more than just drawing equipment racks with mounted devices. It needs to include granular details such as IP address pools, VLAN IDs, routing protocols, and security policies – all of which must be pushed out in the form of configuration settings for all interconnected devices.
A data migration project is a huge undertaking. It’s a consuming venture that absorbs considerable resources to complete, which is why you must get it right. So, how will you conclude whether the project was a success or not? There will be multiple determining factors such as whether timetables and schedules were met and if the project stayed within budget. However, there’s one overriding measurement of success that is the most important of all: Does it achieve the business objectives that it was aligned with? In other words, will it fulfill its intended purpose? That’s what truly matters.
As enterprises push their digital transformation efforts into overdrive to support employees and make business decisions from anywhere, they open themselves up to a new world of data and security risks. To help manage this new influx of information and mitigate security breaches, enterprises need a solution that can analyze the massive amounts of unstructured data at the point where people, devices, and things connect to the digital world. This is where Aruba ESP shines. Keep reading to learn more about Aruba ESP and how it can help your enterprise on its journey to digital transformation and beyond.
In today’s uncertain business climate, it’s critical to make sure your enterprise places itself at the forefront of innovation and leverages data effectively and efficiently to make decisions. A Connected CIO sets the tone for their team, playing a crucial role in adopting new and efficient technologies that encourage the use of data to lead innovation.
On September 28, 2021, HPE announced a new comprehensive series of cloud services for HPE GreenLake edge-to-cloud platform. This platform provides customers with unmatched capabilities to power digital transformation for their applications and data.
Regardless of the industry, all enterprises are looking for strategies to improve their organizations and stay competitive in the market. However, when it comes to technological innovation, there’s one piece in particular that often blocks the way forward: the human element. While computers may still lack the creativity that sets the human mind apart, artificial intelligence (AI) has become an increasingly important part of modern computing, especially when it comes to processing and managing data.
How much data is your enterprise creating and what are you doing about it? For most companies, data is being created, and subsequently stored, at faster and faster rates. However, many enterprises lack the tools to properly utilize and take advantage of their data, especially those that are still struggling with just the data storage part of the equation.
For today’s enterprises, data is the lifeblood of the business. However, despite what many CIO’s and enterprise leaders may think, many businesses lack a comprehensive data strategy that allows them to fully capitalize on their data, let alone carry them into the future.
In today’s digital world, data is the next big gold rush. Every enterprise has it, but most don’t have a data strategy in place that allows them to properly capitalize on data, even if they think they do.