For years it has been normal practice for organizations to store as much data as they can. More economical storage options combined with the hype around big data encouraged data hoarding, with the idea that value would be extracted at some point in the future.With advances in data analysis many companies are now successfully mining their data for useful business insights, but the sheer volume of data being produced and the need to prepare it for analysis are prime reasons to reconsider your strategy. To balance cost and value it’s important to look beyond data hoarding and to find ways of processing and reducing the data you’re collecting.To read this article in full, please click here
For years it has been normal practice for organizations to store as much data as they can. More economical storage options combined with the hype around big data encouraged data hoarding, with the idea that value would be extracted at some point in the future.With advances in data analysis many companies are now successfully mining their data for useful business insights, but the sheer volume of data being produced and the need to prepare it for analysis are prime reasons to reconsider your strategy. To balance cost and value it’s important to look beyond data hoarding and to find ways of processing and reducing the data you’re collecting.To read this article in full, please click here
When big data was hyped as the next technology set to transform the business world many organizations began to collect as much of it as they could lay their hands on. Data centers proliferated as companies sucked in data points from customer interactions, supply chain partners, mobile devices and many, many other sources.It looked as though enterprises had jumped on board with the idea of big data, but what they were actually doing was hoarding information. Very few had any idea about how to unlock the insights contained within. Businesses that saw the value and pioneered analytics are beginning to see a major return on their investment.In a global, cross-industry McKinsey survey of 530 C-level execs and senior managers, almost half said that data and analytics have significantly or fundamentally changed business practices in their sales and marketing functions, and more than a third said the same about R&D. Big data can have a major beneficial impact, but realizing those potential benefits requires a winning strategy.To read this article in full, please click here
When big data was hyped as the next technology set to transform the business world many organizations began to collect as much of it as they could lay their hands on. Data centers proliferated as companies sucked in data points from customer interactions, supply chain partners, mobile devices and many, many other sources.It looked as though enterprises had jumped on board with the idea of big data, but what they were actually doing was hoarding information. Very few had any idea about how to unlock the insights contained within. Businesses that saw the value and pioneered analytics are beginning to see a major return on their investment.In a global, cross-industry McKinsey survey of 530 C-level execs and senior managers, almost half said that data and analytics have significantly or fundamentally changed business practices in their sales and marketing functions, and more than a third said the same about R&D. Big data can have a major beneficial impact, but realizing those potential benefits requires a winning strategy.To read this article in full, please click here
As more and more businesses adopt cloud services, seizing on the latest software tools and development methodologies, the lines between them are blurring. What really distinguishes one business from the next is its data.Much of the intrinsic value of a business resides in its data, but we’re not just talking about customer and product data, there’s also supply chain data, competitor data, and many other types of information that might fall under the big data umbrella. Beyond that there are a multitude of smaller pieces of data, from employee records to HVAC system logins, that are rarely considered, but are necessary for the smooth running of any organization. And don’t forget about source code. Your developers are using cloud-based repositories for version control of application code. It also needs to be protected.To read this article in full, please click here
Data is essential to the smooth operation of any organization. Whether it’s data on your products, customers, or competition, you need it to do business. Your software and systems are dependent on the data that’s fed into them.Big data may be gathered by IoT sensors in vehicles and buildings, smartphones, and from countless other data points to inform big decisions. But at a granular level you also need small pieces of data to function. Without credentials you can’t gain access to the big data, contact suppliers, or even tweak the air conditioning system.Our dependence on data is profound, you might say it’s your business DNA because it’s crucial for survival and growth.To read this article in full, please click here
Agility and speed are of paramount importance for most organizations as they try to innovate and differentiate themselves from the competition. The need for flexibility and rapid scalability is driving more and more companies into the cloud, as traditional data centers are no longer proving to be competitive, agile or robust enough.It should come as no surprise that Cisco predicts 94 percent of workloads and compute instances will be processed by cloud data centers by 2021. But deciding when to take the leap, weighing the costs and risks, and developing a successful strategy is easier said than done. Let’s take a closer look at why companies are ditching those data centers and how they can make the transition as smooth as possible.To read this article in full, please click here
Agility and speed are of paramount importance for most organizations as they try to innovate and differentiate themselves from the competition. The need for flexibility and rapid scalability is driving more and more companies into the cloud, as traditional data centers are no longer proving to be competitive, agile or robust enough.It should come as no surprise that Cisco predicts 94 percent of workloads and compute instances will be processed by cloud data centers by 2021. But deciding when to take the leap, weighing the costs and risks, and developing a successful strategy is easier said than done. Let’s take a closer look at why companies are ditching those data centers and how they can make the transition as smooth as possible.To read this article in full, please click here
Agility and speed are of paramount importance for most organizations as they try to innovate and differentiate themselves from the competition. The need for flexibility and rapid scalability is driving more and more companies into the cloud, as traditional data centers are no longer proving to be competitive, agile or robust enough.It should come as no surprise that Cisco predicts 94 percent of workloads and compute instances will be processed by cloud data centers by 2021. But deciding when to take the leap, weighing the costs and risks, and developing a successful strategy is easier said than done. Let’s take a closer look at why companies are ditching those data centers and how they can make the transition as smooth as possible.To read this article in full, please click here
The modern enterprise is comprised of a complex set of application stacks that span a disparate variety of virtual machines, physical servers, and proprietary storage hardware. Tentacles reach from headquarters, branch and remote offices, and offshore facilities around the world to technology stacks, SaaS providers and a multitude of applications.Over the years layer after layer of technology has accumulated, but rather than replace what came before, we simply built on top through a long series of incremental decisions and implementations. For many, mainframes were bolstered by a client-server layer that moved into data centers. Web technology added SaaS beyond our data centers before virtualization and server consolidation reorganized everything into more manageable chunks.To read this article in full, please click here
There are many compelling reasons to migrate applications and workloads to the cloud, from scalability to easy maintenance, but moving data is never without risk. When IT systems or applications go down it can prove incredibly costly for businesses. A single hour of downtime costs over $100,000 according to 98% of organizations surveyed by ITIC.Mistakes are easy to make in the rush to compete. There’s a lot that can go wrong, particularly if you don’t plan properly.“Through 2022, at least 95% of cloud security failures will be the customer’s fault,” says Jay Heiser, research vice president at Gartner.To read this article in full, please click here
Rick Braddy