If successful companies can be thought of as thriving organisms, then infrastructure—which determines corporate frame and form—can be thought of as a sort of business skeleton. However, just as with real living creatures, each metaphorical bone within the skeleton plays a crucial role in supporting limbs, protecting vital systems, and enabling proper movement. All the pieces must grow together towards the eventual maturity of the whole.
Infrastructure services exist to help your company reach its objectives through careful orchestration of many moving parts. IT service management companies create IT service management solutions not only reactively in response to your present needs, but proactively in anticipation of your plans. At Trianz, our competitive edge comes from having a team of veteran IT service management consultants who can address even the most complex problems with confidence. This post explores several fundamental aspects of infrastructure that we can help you improve.
The concept of infrastructure can seem vast and even a little overwhelming, but taking a high-level perspective can reduce it to its most meaningful elements. IT infrastructure includes all the hardware, software, and related networks and equipment required to support business operations. Bearing in mind that your IT infrastructure is a system, here are some important questions to ask yourself about its current state within your organization:
As you answer these questions and define opportunities for improvement, Trianz can identify infrastructure technology services that will help you meet your business needs.
Once your infrastructure technology has been put into place, your next goal will be to streamline connectivity and interoperability. The best way to guarantee that disparate parts of your infrastructure form a cohesive whole is to implement an airtight network strategy with three key targets:
Our IT service management consultants have years of experience assisting companies in tackling implementation challenges for appropriate network infrastructure services.
Global Infrastructure Services
Whatever technical services your company may need, choosing which solution to implement is only the first step. Global infrastructure services are vital to optimizing infrastructure across your business because they ensure your infrastructure technology and network infrastructure solutions function despite differences arising between business units over time.
Growth and expansion will impact your requirements, and you will need a trusted partner to help you manage updates, upgrades and enhancements. IT service management companies make it possible for you to monitor nearly anything when it comes to your IT services, meaning they can help you assess needs and predict outcomes merely by connecting to your data. The “global” aspect here is meant to signify “comprehensive,” or “total”—something that captures all that happens in your organization.
With all the work surrounding successful infrastructure implementation, where should you begin? One of the best ways to know is to speak with an IT service management consultant, who will evaluate your current setup and make impactful suggestions for the benefit of your company.
While powerful and increasingly indispensable, IT service management solutions are also extremely intricate. At Trianz, we bring our extensive experience to bear in helping you reach full satisfaction with the direction your business chooses to take. Irrespective of the specific problems you need to solve, through our own advanced consulting services, we can guide you to an option that will pay dividends well into the future.
Contact Us Today
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
What Is an SQL Query Engine? SQL query engine architecture was designed to allow users to query a variety of data sources within a single query. While early SQL-based query engines such as Apache Hive allowed analysts to cut through the clutter of analytical data, they found running SQL analytics on multi-petabyte data warehouses to be a time-intensive process that was difficult to visualize and hard to scale.Explore