We offer a variety of implementation and deployment services which suites your organizational information strategy and budgetary requirements ranging from turnkey vendor specific data mining and predictive analytics products built on your custom data-lakes, data warehouses & Bigdata. Our Advanced Analytics Implementation include user specific scenarios, Ad-hoc analysis OLAP environment etc.
We offer a variety of implementation and deployment services which suites your organizational information strategy and budgetary requirements ranging from turnkey vendor specific business intelligence products for your Vendor specific ERPs or CRMs to custom built dashboards for your custom data-lakes, data warehouses & bigdata. Our Custom BI Environment Implementation service includes user specific dashboards, adhoc analysis OLAP environment. We also offer implementation / migration services of old fixed format reporting tools to modern BI Tools.
We offer GIS Analytics Solutions which suites our values clients’ analytic needs. These Solutions range from Proprietary GIS Vendor Solution Deployments to the OpenSource & Customized Solution addressing the organizational needs of the End-users.
Combining the analytical power of databases with the geographic capabilities allows business users to explore and analyze relationships between geographic data and business data. While BI tools are ideal for analyzing who, what and when from the business data, the GIS functionality is able to add a new dimension and provide significant advantages in spatial analysis capability and visualization of information to show patterns and trends of where to this analysis. Adding this new GIS data dimension provides an altogether new view of business
We offer vendor specific bigdata analytics solution implementation and deployment services which suites your organizational quick-win information strategy and budgetary requirements. Custom built use cases and scenarios help client understand its data and the custom-built dashboard assist in making timely strategic decisions. Our services include user specific dashboards & Adhoc analysis environment.
Our automated AI analytics solution uses the latest breakthroughs from machine learning and data science to give our clients actionable insights on their data, something they were not able to achieve from their dashboard-based business intelligence, bringing valuable business opportunities and insights to the surface.
Our Data Science and Machine Learning offering helps organizations to develop custom solutions that process high volumes of data and run sophisticated algorithms to learn how to perform a task by themselves. Our machine learning powered business applications enable faster decision-making, increased productivity, business process automation, and faster anomaly detection. We empower organizations to:
Understand customer behavior to predict the most sought after future product/ service.
Accelerate execution time for processes like loan approval by implementing intelligent automation.
Analyze present and past stats to forecast a company’s revenue and other such crucial metrics.
Robots are here to stay. The faster you harvest their potential, the faster you create a competitive edge for your business. Robotic Process Automation delivers direct profitability while improving accuracy across organizations and industries. Enabling RPA to handle any processes will not only transform and streamline your organization’s workflow.
It will allow for superior scalability and flexibility within the enterprise, doubled by fast, tailored response to specific needs. Software robots are easy to train and they integrate seamlessly into any system. Multiply them, and instantly deploy more as you go. They constantly report on their progress so you can go even bigger and better by using operational and business predictability, while improving strategically.
Robotic Process Automation software robots are programmed to follow rules. They never get tired and never make mistakes. They are compliant and consistent.
Once instructed, RPA robots execute reliably, reducing risk. Everything they do is monitored. You have the full control to operate in accordance with existing regulations and standards.
Fast cost savings
RPA can reduce processing costs by up to 80%. In less than 12 months, most enterprises already have a positive return on investment, and potential further accumulative cost reductions can reach 20% in time.
Across business units and geographies, RPA performs a massive amount of operations in parallel, from desktop to cloud environments. Additional robots can be deployed quickly with minimal costs, according to work flux and seasonality.
Increased speed and productivity
Employees are the first to appreciate the benefits of RPA as it removes non-value-add activities and relieves them from the rising pressure of work.
Implementation of a comprehensive repository / Data Warehouse will enable changes in the business measurements, changes in business processes, and initiate changes to operational systems to supply new data to the Data Warehouse. Without a compelling business case, it will be impossible to achieve executive level approval.
Our DHW / EDW solution meets the rigorous project requirements including speed, scope, quality and usability. It is designed for maximum data visibility, control and accuracy. This in turn improves confidence in the data and information, improves customer service and increases users on the system. This improved access to information improves understanding, decision making and operational efficiencies.
Our DWH solution is extensible without costly re-architecting and provides the fullest governance, cleansing, monitoring, access, automation, scalability and understanding of data (through metadata) in a state-of-the-art Data Management and Data Analysis. Our DWH methodology focuses on reusing client’s existing users’ expertise in their preferred platform as much as possible.
The solution is architected considering client’s current and future needs from the world’s leading Data Management platform providers. It is implemented by a superb, proven consulting organization strengthened from decades of experience designing, implementing, testing and training on all the elements of this proposed solution, for similar types of projects.
We offer multi-vendor Big Data Implementation & Managed Services. We also offer Big Data Trainings to our clients’ teams. Certified Experts and Analytics Team members of InfoMatrix deliver solution trainings. We deliver role based trainings to client resources.
Master data management (MDM) is a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise’s official shared master data assets. Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise including customers, prospects, citizens, suppliers, sites, hierarchies and chart of accounts.
Master data management (MDM) is the core process used to manage, centralize, organize, categorize, localize, synchronize and enrich master data according to the business rules of the sales, marketing and operational strategies of your company.
Our MDM Services include Deployment of vendor base MDM Solutions to Customized MDM Solution Development addressing clients customized needs. Master Data Management Solutions ensure that the entire organization access accurate and 360-degree view of a company’s data from a single centralized location to make the best and informed decisions.
Master Data Management Solution plays a vital role to ensure there are no errors or inaccuracies in the data accessed by different units in an organization. Master Data Management Solutions gathers company-wide data from multiple domains and departments, and singles out the core data that administrators have determined is most relevant to the organization. Users then implement the data as they see appropriate, keep records of historical information, and make reliable projections based on findings.
We provide following Services:
Master data matching and linking: Matching and linking function utilize algorithms that instantly identify duplication of data and helps resolve multiple entries into a one single and accurate record. Master Data Management Software helps eliminate data duplication, feed correct information into all the systems, monitor the integrity of the source of the data and automate some tasks that are otherwise considered resource-demanding.
Data Consolidation: Master Data Management Software enables data consolidation for clients, vendors, and product databases on a flexible and intuitive process with user experience (UI) that is consumer-grade. MDM software has easy-to-use UI that can help visualize all data during a consolidation process such as drag-down, show changes, best record review, and match review. Master Data Management Software creates, maintains, and distributes master data in a centralized source that extends across a variety of different programs in the business. It ensures data consistency anytime, anywhere, standardizes definitions and business rules, enforces validated values and monitor a complete audit trail of changes
Mass Processing: Master Data Management Software mass processing feature perform beneficial mass change processes that allow the master data users to do bulk alterations and modifications in business partners, clients, suppliers, and range of products data. It enables an effective process to execute mass changes for attributes.
Accessibility: Master Data Management Solutions accessibility feature allows the individuals particularly those with disabilities to use it. It provides client-side and third-party assistive technologies, for example, the JAWS screen reader, to be used in conjunction with the Master Data Management Software solutions.
Shareable: Master Data Management Software enables business rules to be shareable across different use cases for example when doing data importing or approval processes. The controls must be centralized with an ability to be changed once for effect to be applied everywhere. Business rules must also be implemented in the user interface without a need to wait for the backend development. Business rules allow the user to create, apply and manage the entire company’s data governance policy by an introduction of fast and accurate data quality and governance strategies, thus minimizing risk.
Supports the security of data: Master Data Management Software allows the use of role-based security policies within a master data management solution. It must help you define the access rights to any data which are applied to restrict actions. It helps to protect sensitive and private data, particularly pertinent financial information. A Master Data Management Software solution can do data attributes encryption with business-defined cryptographic keys so that users will be prompted to provide a password before they can access the attribute values. The feature ensures that the company is not vulnerable and cannot be exploited by unauthorized external parties who try to gain access to the users’ data without consent.
Data enrichment: Master Data Management Software enables data enrichment which involves enriching the tools and processes that improve the data quality of the data emanating from different inbound sources. It’s a crucial component to help the user achieve a correct 360-degree view of their data. It enables cleansing and streamlining of the data.
This Offering includes:
- Data Migration Services
- Platform Migration Services
- Database Upgrade Services
- Application Upgrade Services (OBIEE, Oracle ERP, OBIA, ODI)
- Data Ingestion Enhancement and Upgrade Support Services
We ensure fast, seamless upgrade and migration services focused on minimizing downtime and maximizing business benefits. We manage all aspects of upgrade and migration services from assessment, planning, remediation, end-user communication and scheduling, go-live and post-migration support.
Data Migration & Data Ingestion Enhancement services are as an inherent service performed across many of the Data warehouse and Business Intelligence projects.
Our Services include Organization Process Assessment & Organizational Process Definitions.
The Data Management Maturity (DMM) model is a process improvement and capability maturity framework for the management of an organization’s data assets and corresponding activities. It contains best practices for establishing, building, sustaining, and optimizing effective data management across the data lifecycle, from creation through delivery, maintenance, and archiving.
The DMM model's organized set of processes is applicable to all industries and any data management objective. It facilitates an organization’s appreciation for the management of data as critical infrastructure, through increasing capabilities and disciplined practices.
While the DMM model defines the requirements and activities for effective data management, it is not prescriptive about how an organization should achieve these capabilities. The DMM is structured such that it can be used by organizations to not only assess their current state of capabilities, but also to build a customized roadmap for data management implementation.
This service involves data maturity assessment & ratting of an Organization for compliance to Data Management Maturity Model guidelines and practices. This step in the process uses the data capability assessment to determine your organization’s current level of data management maturity.
Assess the data which powers your institution. Each question assesses one of four ‘blocks of maturity’: people and culture, business process, data activities and technology.
This Service Offering includes definition of vision, goals, and objectives for the data management program for your organization and ensures that all relevant stakeholders are aligned on priorities and the program implementation and management. The data management strategy defines the overall framework of the program. A data management strategy usually consists of, at a minimum:
- A vision statement, which includes core operating principles; goals and objectives; priorities, based on a synthesis of factors important to the organization.
- Program Scope – including both key business areas (e.g., Customer Accounts); data management priorities (e.g., Data Quality); and key data sets (e.g., Customer Master Data)
A data governance strategy articulates the vision, mission, objectives and guiding principles of the overall program. These tend to be unified into an over-arching charter. The charter defines the mission, objectives and guiding principles of the program.
In this way, the program will more readily gain buy-in and the required resources needed to ensure its success. And by tying the mission statement to the corporate strategy, it can readily be adopted across the organization. Ultimately, the charter will help your organization make faster, more consistent decisions and enforce them – a primary role of data governance.
Included within strategy is the operating model. The operating model forms the basis for the data governance organizational structure and ensures the proper oversight and expertise are in place to resolve data related challenges as they arise. The operating model further outlines ownership and accountability, along with decision rights and controls. It defines who gets to make decisions concerning the data such as: Who has the authority to add new customer records? What information needs to be verified, and by what process? How long is data retained or archived and what is the audit process?
- Organization Process Assessment
- Organizational Process Definitions
We offer Organizational Process Assessment & Gap Identification to as a first step to deliver Governance Management Service for your organization.
The data governance structure is designed to correlate with the organization hierarchy and its culture.
Key functions for data governance management service include the following:
- Recommendations & Formulation of the enterprise data strategy, policies and standards
- Definition of business terms by subject areas
- Assignment of accountabilities and responsibilities for data governance management
- Develop decision rights and change mechanism
- Address regulatory and other external requirements, data security, and access
- Enforce compliance
This service offering mainly focus on supporting a common understanding of terms and definitions about structured and unstructured data supporting business processes for all stakeholders
The business glossary provides a stable foundation for understanding and integrating data across the organization. The goal of the business data glossary is to ensure that each term refers to a specific, atomic fact without ambiguity or duplication. This enables a broad range of important data management functions and accomplishments
We provide Organizational Assessment & Implementation of Metadata Management Policies, Procedures & Platform. Metada Management identifies, describes, explains, and provides content, context, structure, and classifications pertaining to an organization’s data assets and enables effective retrieval, usage, and management of these assets.
The metadata developed by an organization is the mechanism allowing data asset knowledge to be established and enhanced over time. We ensure effective metadata management and creation of the organization’s metadata catalogue facilitates, support, and contributes to achievement of critical data management activities.
This service encompasses assessment, gap identification & definition of an integrated, organization-wide strategy to achieve and maintain the level of data quality required to support the business goals and objectives.
This Service develops an understanding of the content, quality and rules of a specified set of data under management
Goals of Data profiling are as follows:
- A standard set of methods, tools, and processes for data profiling is established and followed
- Produce recommendations for improving the data quality improvements to data assets
- Physical data representation is factual, understandable, and enhance business understanding of the set of data under management
This service provides a systematic approach to measure and evaluate data quality according to processes, techniques, and against data quality rules.
Data quality assessment services includes:
- Establish and sustain a business-driven function to evaluate and improve the quality of data assets
- Standardize data quality assessment objectives, targets, and thresholds according to industry accepted techniques and processes
- Adopt standard data quality dimensions across domains for development of thresholds, targets, and metrics
- Establish an empirical method for statistical evaluation of data quality
- Establish standard data quality assessment reporting, utilization scorecards, dashboards, and other analytical reports
- Utilize the results and conclusion of data quality assessments to develop and enhance data quality improvement plans.
Defines the mechanisms, rules, processes, and methods used to validate and correct data according to pre-defined business rules. Data Cleansing goals are as follows:
- A data cleansing strategy has been created and is consistently followed
- Standard data cleansing processes are established and sustained
- Data cleaning standard are consistently verified by all stakeholders
Take your Digital Transformation journey with InfoMatrix and become an agile, people-oriented, innovative and customer-centric organization. Achieve sustained business growth through improved efficiency, higher productivity and seamless execution with the capability to rapidly adapt to the changing circumstances in this disruptive age.
We view this transformation as building up a strong immune system of the organization and reinvigorating it with healthy nutrients, developing an ecosystem which can naturally tackle external threats and challenges as well as prevent internal inefficiencies.
Our approach to Digital Transformation is holistic, targeting the technology, processes and the people in the organization. These constitute the body, mind and the heart of the organizational whole. It is necessary for each of these components to be functioning properly and in sync with the others. We work with mature frameworks and methodologies (agile-lean-scrum-kanban) enabling you to implement new technologies, adopt optimized processes and induce a cultural change in the organization which results in higher motivation levels, productivity and efficiency.
Many Organizations have made significant investments in Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Enterprise Data Warehouse, Bigdata & analytics technologies. Yet not all these organizations are realizing the full value of their investments for a variety of reasons. These Systems take quite some time to gain credibility within the organizations to be used as basis for strategic decisions of organizations because the information delivered is not accurate, consistent, timely or complete, or the technical infrastructure does not scale to meet the ever-changing needs of the business users. The challenge is to re-establish credibility, secure existing investments and create a roadmap of how to move forward.
Nowadays, for any business or organization, IT plays a major role. An IT audit/review is used to evaluate the information systems and the safeguards present to protect these systems. The purpose of the IT audit/review is to determine whether or not these controls are used to secure information assets are working properly or not. The wider business must realize the importance of the IT auditing to enjoy the maximum benefits. The InfoMatrix System Audit/Review (IMSAR) Service is primarily based on TOGAF® Standard and Data Management Maturity (DMM) Model. It also includes logical and physical data model reviews designed by experienced InfoMatrix Logical and Physical modelers.
A sustainable strategic advantage in the global economy rests with faster and better access to information to manage the organization. Throughout the IT Audit / Systems Assessment, we look for ways in which your Enterprise Systems may benefit from modern analytics practices and new information technologies. The areas covered in the IT Audit / System Assessment include a high-level analysis of existing business requirements, a review of the technical infrastructure, and an assessment of the current reporting vs. business requirements, evolving business analytics needs of end users.
Our IT Audit / System Assessment is a comprehensive analysis of an organization’s current operations and capabilities in the areas of enterprise systems, data warehouse and analytics technologies. Also included is an evaluation of how these elements support the business requirements and contribute to the short term as well as long-term strategic goals of the organization. Moreover, it allows an organization to further capitalize on its existing investments made on data management technologies.