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Technical Expertise

The areas of expertise of our team include Business Intelligence, Big Data Analytics, Enterprise Software Development, Data Warehousing, and Data Mining.

Business Intelligence

Business intelligence (BI) is a way to reveal actionable insights in your data.

From understanding the “why” behind sales spreadsheets and forecasts to generating expertly authored reports and visualizing results, BI allows you the ability to ask questions of your data in plain language – and get answers you can understand

Big Data Analytics

The more you put your data to work, the better the outcome, and the more opportunities you’ll uncover for success.  Don’t just see your data — maximize its value. Unlock insights from deep within your data to energize your applications, protect your enterprise data by achieving unified governance, and manage your data so that you can store, manage, and analyze it wherever and whenever you need it. Whatever your starting point, our experts can empower you to successfully transform your business through accelerated solution-oriented adoption of our Data and AI methodologies and technology

  • Artificial intelligence (AI) – AI enables software to emulate human decision-making and learning. Neural networks, machine learning, natural language processing and cognitive capabilities present developers and businesses with the opportunity to offer products and services that disrupt marketplaces and leap ahead of the competition. IBM Watson offers developers a way to connect with and use artificial intelligence services as part of their applications through application programming interfaces or APIs.
  • Cloud-native development – Cloud-native development is a way of building applications to exploit cloud environments. A cloud-native application consists of discrete, reusable components known as microservices that are designed to integrate into any cloud environment. These microservices act as building blocks and are often packaged in containers. Because of this architecture, cloud-native applications can use cloud environments to improve application performance, flexibility and extensibility.
  • Cloud-based development – Just as IT organizations look to the cloud to improve resource management and cut costs, so do software development organizations. In this way, the cloud can be used as a fast, flexible and cost-efficient integrated development environment (IDE) or development Platform as a Service (PaaS). Cloud-based development environments can support coding, design, integration, testing and other development functions. They can also offer access to APIs, microservices, DevOps and other development tools, services and expertise. Blockchain – Blockchain is a secure, digitally linked ledger that eliminates cost and vulnerability introduced by parties like banks, regulatory bodies and other intermediaries. It is transforming businesses by freeing capital, accelerating processes, lowering transaction costs and more.  Blockchain presents a tremendous opportunity for software development. Developers are working with distributed ledgers and open source Hyperledger technology to change how businesses operate.
  • Low code – Forrester defines low code as: “Products and/or cloud services for application development that employ visual, declarative techniques instead of programming and are available to customers at low- or no-cost in money and training …”4 In short, it’s a development practice that reduces the need for coding and enables non-coders or citizen developers to build or help build applications quickly and at lower cost.
  • Analytics – Annual demand for data scientists, data developers, and data engineers will reach nearly 700,000 openings by 2020. The demand signifies how critical it is for companies to gain insight and value from the explosion of data. Accordingly, software developers are integrating advanced analytics capabilities into their applications. Cloud-based services and APIs make it simpler to guide data exploration, automate predictive analytics and create dashboards that deliver new insights and improve decision making.
  • Mobile – Fifty-four percent of global executives believe that customer buying behavior has shifted from products and services to experiences. Many of these experiences occur in mobile environments. A key capability for software developers is creating mobile apps with deep connections to data that enriches and elevates user experiences. Forrester has found that “deeply integrating digital/mobile customer data has a strong effect on how customers interact with brands.”

Data Warehousing and Data Mining

A data warehouse is a tool to aggregate disparate sources of data in one central location to support business analytics and reporting. Not only do data warehouses give organizations the power to run robust analytics on large amounts of historical data, they also store petabytes worth of information.

IBM offers on-premises, on-cloud and integrated appliance data warehouse solutions, providing organizations with a high-performance and flexible data analytics foundation that delivers predictive insight for more data-driven decision-making. Powered and built on AI, all three platforms live within the IBM Db2® family of products, offering a common SQL engine to streamline queries and machine learning capabilities that enhance data management performance