The complexity of modern information technology systems is daunting for risk management experts. Most enterprises today have data scattered around the world in the cloud, on mobile devices, on the laptops of remote workers, or sitting on partner systems. Mitigating the risks that come with that kind of exposure goes far beyond just security - legal and financial liability can be equally threatening.
By choosing the right Managed Service Provider (MSP) to handle their IT needs, any enterprise can keep both its risks and costs down across the board.
Bringing in an MSP to handle routine IT operations and services keeps corporate financial risks under control by offering a predictable, stable and affordable cost structure around technology requirements. IT is famously open to expensive surprises, including:
All these can result in unexpected expenses in software, consulting, or staff time for in-house IT departments. By off-loading operations to an MSP like Trianz, you can both mitigate the chances of negative outcomes as well as absorb and distribute the costs of dealing with them across your business. What could have been an overwhelming, expensive fix for a single client may just be another day at the office for our experienced staff.
Although security was once seen as a stand-alone element of the IT portfolio, today experts are increasingly recognizing that it is a fundamental component of all IT services that must be baked in from day one. A vulnerability in corporate email service is a free entry pass to hackers engaged in theft or corporate espionage.
It is no longer enough to conduct a security review once a quarter or have an expert review the new IT system only once. Today, constant monitoring and a continuing emphasis on security is a must in every element of the IT service chain.
By engaging an MSP such as Trianz to manage the entire stack, companies get all the benefits of our security professionals monitoring every aspect of their service delivery, with an additional bonus: they never have to think about it.
Since all the above risks have started to impact consumers, governments have been quite proactive in framing new rules and regulations designed to protect customers. Complying with those regulations is not exactly a cakewalk. The complexity of HIPAA or FINRA data protection rules has created new job specializations and titles. And hiring those specialists isn’t cheap.
But at Trianz, as part of our basic service, we can offer that kind of specialized compliance expertise. We spread the costs across the entire horizon of our client base to ensure that all our systems and procedures meet national and international regulatory standards.
With a global portfolio, top experts in every technology field and years of proven experience working with companies in every industry, Trianz is perfectly positioned to help your company reduce exposure to IT risks. Schedule a consultation with us to discuss your specific needs.
Contact Us Today
For decades, Windows served as the workhorse of the business world. In recent years, however, a significant transformation has occurred with the rise of cloud infrastructure platforms. Enterprises now realize that legacy on-premises Windows workloads are impeding their progress. Core challenges include licensing costs, scalability issues, and reluctance to embrace digital transformation.Explore
Connecting more people to data has become imperative for organizations worldwide. In Top Trends in Data & Analytics for 2022, Gartner stated, “Connections between diverse and distributed data and people create truly impactful insight and innovation. These connections are critical to assisting humans and machines in making quicker, more accurate, trustworthy, and contextualized decisions while considering an increasing number of factors, stakeholders, and data sources.”Explore
Since the dawn of business, users have looked for three main components when it comes to data: Search | Secure| Share. Now let's talk about the evolution of data over the years. It's a story in itself if one pays attention. Back then, applications were created to handle a set of processes/tasks. These processes/tasks, when grouped logically, became a sub-function, a set of sub-functions constituted a function, and a set of functions made up an enterprise. Phase 1 – Data-AwareExplore
Practitioners in the data realm have gone through various acronyms over the years. It all started with "Decision Support Systems" followed by "Data Warehouse", "Data Marts", "Data Lakes", "Data Fabric", and "Data Mesh", amongst storage formats of RDBMS, MPP, Big Data, Blob, Parquet, Iceberg, etc., and data collection, consolidation, and consumption patterns that have evolved with technology.Explore
Enterprises have, over time, invested in a variety of tools, technologies, and methodologies to solve the critical problem of managing enterprise data assets, be it data catalogs, security policies associated with data access, or encryption/decryption of data (in motion and at rest) or identification of PII, PHI, PCI data. As technology has evolved, so have the tools and methodologies to implement the same. However, the issue continues to persist. There are a variety of reasons for the same:Explore
Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data.Explore