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Sense-D Consulting Ltd. is a full-service business intelligence (BI) firm dedicated to providing vendor-neutral solutions that bring industry best practices to bear in developing client data management solutions.
We specialize in assisting organizations in planning, designing, implementing and operating Business Intelligence solutions and strategies that are central to creating and maintaining a competitive business advantage.
At Sense-D, we believe that Business Intelligence is a business challenge and should be pursued as an interplay of these seven business levers:
• Strategy
• People
• Process
• Metrics
• Applications
• Data
• Architecture
Our commitments to our clients include:
• Focusing on providing high quality and cost effective data warehousing solutions for enterprises
• Committed to assisting our clients in extracting business meaning from their data and developing competitive advantage by creating custom designed information management strategies and solutions through the use of data warehousing, data mining, knowledge management and other business intelligence disciplines.
• Balancing our data management knowledge with a healthy understanding of the human element to information technology solutions.
• Working closely with each client to establish strategies that are custom fit to each unique business challenge.
• Working to sustain reputation for excellent customer service and helping our clients discover the key to their organizational intelligence.
Business Analysis is a structured methodology that is focused on complete understanding of customer's needs, identifying how best to meet these needs, and then "reinventing" the stream of processes to achieve and exceed customer’s expectations on these needs. Its purpose is to develop business data process improvement as a key strategy and a management tool, capable of supporting the organization's vision, mission, goals, and objectives, and to promote the effective use of technology throughout the organization.
Business analysis is about identifying and understanding the problem and the impact of the solution on the organization’s business.
We focus on building Business Intelligence capabilities of our clients by adopting best practices approach in understanding, analyzing and aligning business users’ requirements.
The process of building a Data Warehouse includes the development of routines to extract data from operational systems and applications. The extracted source data is transformed and loaded in a database model that enables easy access for BI purposes.
IT organizations deliver significant value to the business through solutions such as data warehouses, data marts, business intelligence and operational data stores. These solutions require the reconciliation and delivery of large amounts of enterprise data across a variety of sources - a daunting and complex task that is often time consuming and riddled with cost overruns. Most analysts agree - typical data warehousing solutions require 70 percent of the resources focused on finding, reconciling and loading the data warehouse and 70 percent of the cost geared towards ongoing operations and management.
Implementing your data warehouse solution is a delicate task that needs to be completed by true experts, for the following reasons:
• Access and understanding of older and legacy systems require specialist skill sets
• Ever growing volumes of data and demand for real-time data feeds
• Complexity of changing business requirements, source data systems, and reporting hierarchies
• Inability to deliver access to data warehouses for large communities of users
• Slow or poor adoption due to little confidence in the data
Our data warehouse solutions are well tailored to the business needs using the right technology and Sense-D Consultants answer to the highest requirements on service level.
Sense-D’s data management services are focused on providing our clients with the most innovative solutions to managing data as a valuable organization’s resource, ensuring the most trusted, single version of data for any business intelligence needs. Services include:
• Master Data Management
• Data Profiling
• Data Quality
• Data Modeling
• Data Transformation (ETL)
• Data Migrations and Conversions
• Metadata Management
• Enterprise Information Architecture (EIA).
Customer analytics exploit customer behavioral data to identify unique and actionable segments of the customer base. These segments may be used to increase targeting methods. Ultimately, customer analytics enable effective and efficient customer relationship management. The analytical techniques vary based on objective, industry and application, but may be divided into two main categories.
Segmentation techniques segment groups of the customer base that have similar spending and purchasing behavior. Such groups are used to enhance the predictive models as well as improve offerings and channel targeting.
Predictive models predict profitability or likelihood and timing of various events based on typical customer behavior and deviations from that behavior.
Sense-D's Customer Analytics offering enables companies to integrate and analyze individual customer and data gathered from multiple sources to increase sales, enhance targeting efforts, and improve customer service. Analytical tools enhance targeting efforts by defining customer segments according to customer demographics, product preferences, behavior, cost of service, potential market value, or other organizationally relevant measures.
We can help your organization:
• Drive business processes based on analytics
• Enable real-time decision-making; timely insights to trends
• Get the right information to the right people at the right time
• Identify groups of customers with like attributes and behaviors
• Capture and analyze customer experience data from across the organization
• Track segments and performance over time.
Meeting the business requirements for leveraging BI and Performance Management in organizations requires tight alignment of people and processes for specific business objectives. In many cases these business situations require specific applications or systems that are not found ‘off the shelf’ or not easily customized from traditional BI technology providers. This gap requires the rapid prototyping and development of applications that can be quickly and cost-effectively deployed.
We employ Rapid Application Development (RAD) methodology to deliver this service to our clients.
These applications can be:
• Analytic and enterprise reporting
• Custom solutions built on the Data Warehouse or Data Marts
Business Performance Measurement
Business Performance Measurement is concerned with:
• Measuring the efficiency and effectiveness of actions;
• Aggregating and standardizing information;
• Setting appropriate targets.
The development of performance measures plays an important role in formulating and clarifying plans and strategies and setting targets for employees, project teams and business units. Performance measures should be part of a consistent performance measurement system which connects measures for top management, different business units, middle and lower management and sometimes even individual projects and employees. A performance measurement system should also ensure that a limited and manageable number of measures are chosen and that the measures are balanced in terms of:
• Financial and non-financial measures;
• Leading and lagging indicators (input, process and output measures);
• Trade-offs between measures.
At Sense-D, we adopt and implement the most popular performance measurement framework which is Kaplan and Norton’s "Balance Scorecard".
A well balanced performance measurement system will help your organization to:
• Develop, discuss and formulate the company’s strategy;
• Communicate the strategy throughout the organization;
• Define objectives and specify targets for business units, project teams and employees;
• Motivate and monitor employees and managers and guide their actions;
• Inform employees, managers and shareholders on the efficiency and effectiveness of past actions and strategies and the likelihood of success for future actions.
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