Cloud & Platform Modernization
Cloud Roadmap, Migration
Cloud native data and analytics
Data lake and hubs
Modern Data Integration
Digital transformation can be empowering at an organizational scale. It can help transform the customer experience, power innovation, increase agility and flexibility, reduce operating costs and drive data-based decision-making.But outdated IT infrastructures and applications too often can stand in the way. Genuine digital transformation — in which enterprises take full advantage of digital technologies such as artificial intelligence, automation, connected devices and remote collaboration and communications platforms — benefit from a cloud modernization strategy that involves people, processes and technology.
While several types of modernization, including infrastructure modernization, platform modernization, application modernization, business process modernization and cultural/workplace modernization, can enable full digital transformation, advancements in cloud and related technologies can have a significant impact on each of them.
Effective digital modernization initiatives are typically coordinated efforts. It makes little sense, for example, to launch an application modernization project in isolation when its effectiveness hinges on modernized infrastructures, platforms and business processes based in the cloud.
We believe in a holistic approach.
Data & Analytics COE
Platform administration and upgrades
Platform & Application support
Upgrades & Optimization
Every day more and more businesses are jumping on the bandwagon. But what does managed services actually mean and how can you tell if an IT Support company is not just using the word as a marketing tool, but is in fact only offering “flat rate” services packaged as “managed services”?
As a definition, Managed Services allows a business to offload IT operations to a service provider, known as a Managed Services Provider. The managed service provider assumes an ongoing responsibility for 24-hour monitoring, managing and/or problem resolution for the IT systems within a business.
Managed Service models have evolved over time, and the seasoned providers have perfected their delivery. It is very effective for a business that:
•Relies on their IT Infrastructure to properly support their daily business processes
•Do not have sufficiently trained staff or time to formally deal with proper maintenance, updates and repairs
•Want to pay one monthly, flat fee for services to provide a high level of service quality to the business
For most business services, IT underpins the business engine. From software to hardware and the skills required to keep the service running, a company could invest significant capital in building and maintaining the in-house support staff. However, given the maturity of the managed service models and the shift to virtualization and cloud, the need for on-site IT staff can be limited to the exceptions where operational sensitivity justifies it. To ensure greater IT cost predictability amid uncertain requirements, a company may consider leveraging managed service experts.
MSPs usually price their services on a subscription basis. Based on the services selected, the pricing is usually scoped on the number of devices with pricing aligned to packages across a range of categories. Some provide customer support on-site when required. Basic services often start with a monitoring service, which identifies potential issues, which you resolve on your own. At the other end of the spectrum, service providers offer comprehensive managed services that cover everything from alerts through problem resolution.
Your company’s data is one of its most valuable assets. So creating data management policies, procedures, and processes to ensure it remains accurate, secure, accessible, and usable for analytics insights should be a top priority.
Master Data and Metadata Management (MDM)
Data Integration and Definition
SAP – S4HANA
The practice of managing data as a valuable resource to unlock its potential for an organization. Managing data effectively requires having a data strategy and reliable methods to access, integrate, cleanse, govern, store and prepare data for analytics. In our digital world, data pours into organizations from many sources – operational and transactional systems, scanners, sensors, smart devices, social media, video and text. But the value of data is not based on its source, quality or format. Its value depends on what you do with it.
Benifits of Data Management :
Enhanced customer service
Improved regulatory compliance
Less manual processing
Strategic Advisory Services
Visioning & Product Road Mapping
Data & Analytics Governance
Augmented, Next-Gen, Geo-Spatial Analytics
Being able to consume and analyze data is critical to the business. The time is right to look at modernizing your platform. Computing power has increased while computing costs have decreased, which enables real-time predictive analysis. You can leverage the work that key software providers have done to integrate their suites of tools, creating a solution that is customized for your needs. In other words, if you’re prepared to modernize, now’s the time. So here are a few thoughts about what you should look for in a modern analytics platform.
RPA & AI
Automate Legacy Data Consumption
Process Structured and Semistructured Data
Enhance RPA through AI Algorithms
Data Driven ML with Decision Engines & Prescriptive Analytics
Self Calibrating models for AI Predictive Analytics
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