Cloud Computing

Cloud computing, it’s an idea that all kinds of computing can be delivered over the Internet. Adopting cloud means spanning the gap between traditional and next-generation application for new yielding opportunities. To engender your Business uniquely with innovative new features, you need Cloud Computing but it’s not easy to design and build scalable infrastructure and maintain your rostrum, so we provide what you need, and how you develop.

Our cloud software pools together to compute, network, and storage resources within your IT environment to create ‘on-demand access to a shared pool of computing resources’. Identify new business strategies and initiatives for greater customer retention. We provide IT solutions and make new technology work in existing with uptime your business needs. 

Big Data Analytics

Big data is a typical “platform” consists of high-performance processing. Big Data Analytics is the Key to Real-Time Analytics, which is associated with Cloud Computing. IT systems and technology infrastructure generate data every second of every day. So to maintain this data, Optimized Solutions is the leading platform for collecting, analyzing and visualizing the data. It’s About Variety, not Volume we provide.

Big Data analytics can now be enabled with SAP HANA’s in-memory technology and the embedded SAP Predictive Analytical Algorithms and Visualization Analyses. The chosen objectives have implications for not only the outcome and financial benefits from big data, but also the process, who leads the initiative, where it fits within the organization, and how to manage the project. The platform includes capabilities to integrate, manage, and apply sophisticated computational processing to the data

In-Memory Computing

In-memory computing is a technology that allows the processing of massive quantities of data in main memory to provide immediate results from analysis and transaction. The data to be Processed is ideally real-time data (that is, data that is available for processing or analysis immediately after it is created).SAP In-Memory Computing technology entitles real-time business computing by bringing online transaction processing applications and online analytical processing applications together at low total cost. The alliance of these two technologies can eliminate today’s information lag for your business. SAP HANA has now made it possible, with its “In-Memory” computing capabilities to analyze the high volumes of transactional and other data affordably, both structured and unstructured (Hadoop), with vastly increased speeds and in “real-time”

In-memory computing helps business customers, including retailers, banks, hospitals, analyze massive data volumes, and performing their operations quickly. This access to information means increased support in the field and an increased ability to meet the productivity of your work force. By SAP In-Memory Computing technology we provide economical among a wide variety of applications and an Optimized End to End Solution.

Mobile Computing

Mobile Computing enables people to access network services anyplace, any time, and anywhere to the needs of the business for accurate and timely information. It reduces the paper work while increasing the speed and accuracy of information delivered to the customer. Wireless data solutions enables to connect your organization in real-time Here technicians and field workers can receive and complete all work orders electronically, seamlessly uploading work order data in the field

A solution that trends, empowers the need for companies to reduce complexity and improve their productivity are driving strong demand for out-turn that optimized solutions is uniquely positioned to provide.

Data Analysis / Business Intelligence

Business Intelligence (BI) is a set of tools supporting the transformation of raw data into useful information which can support decision making. Business Intelligence provides reporting functionality, tools for identifying data clusters, support for data mining techniques, business performance management and predictive analysis.

The aim of Business Intelligence is to support decision making. In fact, BI tools are often called Decision Support Systems (DSS) or fact-based support systems as they provide business users with tools to analyze their data and extract information.

Business Intelligence tools often source the data from data warehouses. The reason is straightforward: a data warehouse already has data from various production systems within an enterprise; the data is cleansed, consolidated, conformed and stored in one location. Because of this BI tools are able to concentrate on analyzing the data.

Data Visualization

When data is stored as a set or matrix of numbers, it is precise but difficult to interpret. For example, are sales going up, down or holding steady? When looking at more than one dimension of the data, this becomes even harder. Hence the visualization of data in charts is a convenient way to immediately understand how to interpret the data.

Reporting

Design, schedule and generation of the performance, sales, reconciliation and savings reports is an area where BI tools help business users. Reports output by BI tools efficiently gather and present information to support the management, planning and decision making process. Once the report is designed it can be automatically send to a predefined distribution list in the required form presenting daily/weekly/monthly statistics.

In-memory computing helps business customers, including retailers, banks, hospitals, analyze massive data volumes, and performing their operations quickly. This access to information means increased support in the field and an increased ability to meet the productivity of your work force. By SAP In-Memory Computing technology we provide economical among a wide variety of applications and an Optimized End to End Solution.

Predictive Analysis

Nearly all enterprise businesses have a need to forecast and project forward estimates on various business factors. Owing to enterprise data-availability and the technology to analyze huge amounts of data we can use the historical data present to predict future trends or outcomes.

On-line Analytical Processing (OLAP)

OLAP is best known for the OLAP-cubes which provide a visualization of multidimensional data. OLAP cubes display dimensions on the cube edges (e.g. time, product, customer type, customer age etc.). The values in the cube represent the measured facts (e.g. value of contracts, number of sold products etc.). The user can navigate through OLAP cubes using drill-up, -down and -across features. The drill-up functionality enables the user to easily zoom out to more coarse-grained details. Conversely, drill-down displays the information with more details. Finally, drilling-across means that the user can navigate to another OLAP cube to see the relations on another dimension(s). All the functionality is provided in real-time.

Statistical Analysis

Statistical analysis uses the mathematic foundations to qualify the significance and reliability of the observed relations. The most interesting features are distribution analysis, confidence intervals (for example for changes in user behaviours, etc). Statistical analysis is used for devising and analyzing the results from data mining.

Machine Learning

Our platform not only helps comb through large amounts of data, integrate it in a scalable, secure infrastructure but also has sophisticated alogorithms powering the backend. This directly translates to our platform learning more about your business on the fly to help make better decisions for specific business needs.

Data Integration Consulting

With experience ranging from simple to complex projects, we have a strong, working knowledge of data management software systems, tools and processes needed to build your business solution. Our experience in varied industries allows us to look to where your enterprise is headed, advise accordingly, and design a data solution that is both flexible and adaptable. We create the right solution the first time around, saving you time and money.