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Our Data Visualization & Dashboard competency includes below offerings

What is Business Intelligence?

A delectable blend of logical IT engineering that is coupled with artful imagination of data sets and records and their appearance. Big Data Visualization simply prepares a ground for swift insights into the business data collected thus far, by translating it into graphical form and on the strength of it, even the lengthy volumes of accounts and complex records can be represented in a easier and more intuitive way, while maintaining wider accessibility. Hence, in a business arena of data driven technology while corporation flare up globally, interactive tools enmeshed with graphical form of data would come as a boon to executive section of a corporation while providing necessary controls to operational class as well.


For a successful business and to grow in the market it’s essential to have complete data insights and one should be able to analyze, assess and act proactively before it’s too late. Data warehousing /Business intelligence is the science of integrating data and turn that to a value able “insight”. It enables you to connect, ingest all possible source of data and let you analyze, cross check the impact of one entity on another. E.g. Impact of poor shipment on sales, impact of poor customer service center care vs sales or customer satisfaction, Gap between product demand and supply on revenue etc.
Most of the source systems (CRM, Custom OLTP systems) mostly come with a built-in reporting modules and more or less provide quite good summary and detail reports but that is limited to the information available within CRM, it cannot “Talk” to external systems of information and hence cannot be used to analyze cross subject areas.
Enterprise data warehousing /Business intelligence helps you to get meaningful information from the corporate data and let you take decision proactively assisting you in attaining more revenue, customer base leading to corporate success.
Please get in touch with our sales team to get deep understanding about Data warehousing /Business Intelligence and get started on EDW Road Map.

Data warehousing road map provides a long term vision and benefits to corporate and support in decision making. In market there are some certain methodology that are adopted and depending on certain factors the right approach is decided, generally below 3 approaches are followed

1 – Using a Subject oriented design approach by defining a small set of subject areas (E.g. Order management, Customer, Sales, Financials etc.) and gradually adding more subject areas into a centralized repository and making a “single Presentation Layer” to get a clear corporate view.

2 – By adoption an approach of a Smaller version of multi subject area “Data Marts” (e.g. using Orders, Sales and Customers)

3 – Hybrid / Custom approach where above both are used in a mix and match fashion to get the facts quickly.

All of these approaches depending on certain factor has different level of complexity, time frame, effort, cost and value addition.

Please speak to our sales team to get more understanding about it and we can help you with our free assessment to come up with recommendation as per your need.

Data warehousing approaches usually comes with a cost and involve time frames in MONTHS but having said that, it is evident that with rapid changing business market and trends its quite unrealistic to wait MONTHS until business stake holder get the “data insights”. At big Data dimension we understand the market and business perspective and hence we advocate the concept of “Near Real Time Data analytics” using “Data Lakes”. We offer both short term, quick and reliable solutions with a hybrid approach of making it more value able and flexible on a long term. We believe that we should do what is Right and not what is easy.

Please speak to our sales team to get more insight about Data lakes and we can help you with our free assessment and hands on experience on multiple custom solutions to meet your needs.

“Big Data Lakes” is a scientific concept and it is not tightly coupled with Hadoop or any cluster system. Like data warehousing it’s a concept and a software design methodology about collecting large volume of data, ingesting from multiple sources in near real time and making it valuable for business user by providing real “data insights”. Data lake concept can be also implemented on any RDBMS (e.g. Oracle or SQL Server or any MPP systems (Teradata, Netteza etc.)

At big Data dimension we have our experts in the domain of data analytics that can help you build data lake on almost any platform. Please speak to our sales team for more information.

Usually the source systems are high available applications and hence it is not recommended to build a Data Visualization or data mart on the same physical server where the application is hosted (OLTP or CRM). However, there are some advanced and highly available, scalable solutions like Sales force, Oracle CRM etc. where it is not a big deal.

Usually in Data Visualization business user /Data Analysts would like to analyze historical data spanning on multiple years and do slice/dice operations adding a significant work load on the database hence we recommend building the Data mart or Data warehousing on a separate physical server. However, if your existing CRM/OLTP system reporting is already meeting your need and only few additions/modification are required then it can be done on same physical server/database but extra workload on OLTP must be kept in consideration.

AT big data dimension our consultants are specialized on providing custom solution, please speak to our sales team to get more information about how we can help you.

With new CRM solutions like Oracle On Demand or Sales force it is becoming very common to have a single CRM with all modules on ONE application and they also come with a reasonable reporting modules. As these applications are high available, scalable and fault tolerant we can enhance the CRM data model by adding new entities in it and enhance it to make a Dimensional data model for Business intelligence. Our design approach is to make a “Dependent Data mart” physically on the same CRM server and get you started on the road map of data warehousing.

On top of this “Dependent Data mart” we encourage business user to “offload” some work load of Slice/dice operation, history data trends etc. using visualization Tools like Tableau, Qlick View etc.

Please speak to our sales team to get more information about it.

Self-service BI is the concept of having the capability with Business users to analyze information using different aspect without the help of technical staff. E.g. to analyze the sales information with respect to date, product hierarchy, sales channel, check the effect of customer service over sales etc. Usually whenever Business user needs some information they need assistance of Technical staff to prepare a report/dashboard for them with a definite set of questions to answer, with self-service BI business users can find answers to their question by themselves without being specific about any question and can get instant data insights.

In order to have self-service BI, one must have a strong Dimensional model with a centralized backed Data warehousing solution. In market corporates spend a lot of cost and effort in making generalized data model supporting business users needs and it’s an agile process of slowly adding subject areas into a Data Visualization and start making 360 Degree views about corporate subject areas e.g. 360 Degree about customers, sales, billing etc.

Market has a variety of toolset available to address the needs of data integration and business intelligence. Each one has a defined tool set, features and comes with respective chosen components cost. Some of the Gartner ranked best tools in Data integration are Talend, Informatica , IBM Data Stage , Oracle , MS SQL Server etc. Similarly for Data Visualizations/Self Service BI there is wide variety of tools with their features e.g. Microstragety , SAP BO , Tableau, Qlick View etc.

Although all of the tools mentioned are good and provide very good services our recommendation with respect to cost, efficiency, agility and long term corporate goals is to use Talend for Data integration and Tableau for Visualization/Self Service BI.

Please get in touch with our sales team to learn more about the wide range of tools and the recommendation.

Data Visualization Customer 360 Solution: WHY US?

BigData Dimension is the eventual destination for availing premium Data Visualization 360 services, howsoever complex and challenging the task may appear to be, our widely experienced BI, Data Visualization, ETL, Data experts implement tested and trusted techniques in reaching out to the desired solution. When enterprises align us, they are complemented by one of the most renowned Data Visualization experts on US turf and our professionals make precise use of cutting-edge technologies to their custom needs.

We embody premium Data Visualization consulting skills with strategic insights and tactically assist businesses in ensuring swift Data Visualization development, modernization and deployment, in tandem with their key business objectives. BigData Dimension has engineered rich expertise in Data Visualization Design, Architecture, and tools required to perform the scalable implementation. As a matter of relishing fact, some of our crew members worked hand in hand with Data Warehousing ETL Toolkit author and other renowned industry leaders.


Healthcare Analytics

Changing Diseases See Live Visualization

Pharma Analytics

Infant Mortality See Live Visualization

Travel Analytics

Airbnb Prices in San Francisco See Live Visualization

Weather Analytics

Blame The Weather: US Flights Delayed by Precipitation See Live Visualization

Sports Analytics

World Golf Ranking See Live Visualization

Education Analytics

Diversity of Post Secondary Education in US See Live Visualization

Social Analytics

Tweeter Hashtag Analysis See Live Visualization

Energy Analytics

Electric Power in US See Live Visualization See Live Visualization

Real Estate Analytics

Howsing Recovery See Live Visualization


You’ve already invested in Data Visualization or Dashboard project. Maybe you already have a Data Visualization Solution. To get the full value, you need use our BEAM 360 data visualization implementation methodology removes barriers to mainstream requirement gathering, design and deployment hurdles & deliver scalable customer data visualization solution.

From a broader perspective, insights can be gained rapidly, while interactive framework is congealed for real time decision making and solutions are collaborative with a forward thinking ability. All such is made possible when one is able to tap upon the exact decisions to be implemented to remain bigger drawer of the market share and for further empowerment.

The ambit of our Data Visualization Services includes the following factors:

  • High-end visual analysis which are resulted through the process of precise designing and diligent development,
  • Collaborative data production with scores of analytical tools for broader description,
  • Simplification of methods involved in translating complex data sets,
  • Utility tools to prototype and thus proliferate graphics for cutting edge data visualizations,
  • Supreme scalability of such visualization which can be secured even on mobile device.

Our Data Visualization 360 Solution provides insight and interactive dashboard about social media channels.

Don’t Build your Data Visualization without US.

Let Us Help You – With Your Data Visualization Needs

Our Data Visualization 360 Solution


We extend premium assessment services in order to architect, design and deploy our Data Visualization Solution :

Data Visualization Assessment & Modernization

We first study and evaluate your system which may have existing Data Visualization implementation and collect the requirement. It is been examined if the organization is equipped with the necessary skills and hardware which would pave way for successful implementation for scalable Data Visualization.

  • Vendor Specification: This method is being implemented in order to determine the most appropriate Data Visualization implementation software like ETL, Data Modelling, Database etc. in order to meet target goals.
  • Health Evaluation: This step assesses the versatility of existing Data Visualization program in order to ascertain the completeness of the product and to select and uproot any bug or likely error from there.

Data Visualization Roadmap

Successful implementation of Data Visualization technology is a long-term process which needs to be steady and which is trajectory of numerous upstream and downstream systems and sub-systems which together constitute the most powerful Data Visualization ecosystem. Our stalwarts are ever devoted to put meaningful efforts with you and to detect and meet any critical bottlenecks which may appear thereby. For instance, the following types of issues are the most occurring ones, when Data Visualization program is being implemented:

  • Should my enterprise opt for a Big Bang type initiative or a controlled implementation in phased manner?
  • How to plan and execute such types of long-term programs?
  • On what criteria can the success of each of the implementation stage be gauged?
  • How to attract the focus and support from stakeholders’ side?
  • How to gather constant sponsorship or funds supply to push such long term impact programs forward?

Data Visualization Solution Architecture

A framework is the ultimate point of state where initially thought of strategy takes the shape of reality and the Big Data stalwarts remain accessible and well focussed to administer the following accomplishments pertaining to Data Visualization design:

  • Implanting the superior technology platform,
  • To invoke the precise use of selected products,
  • Design the Data Visualization platform with futuristic outlook and flexibility,
  • To ensure strategic alignment with selective and trusted Data Visualization approaches,
  • To pursue the long-term mission cum vision of Data Visualization virtues while still keeping tabs upon short-term business needs alongside IT requirements,

Design And Development Phase:

During this stage, our illustrious team adheres to a sequential design, i.e. iterative model where end businesses are provided with a chance to get deeply involved by adapting to newer business systems while still keeping their end objectives within sight. We render the following type of unparalleled legacy of premium design and development phase:

  1. Well defined, tested and trusted development technique cum methodology,
  2. Visible and quantified outcome is being delivered to clients swiftly and regularly,
  3. Our Data Visualization consultants perpetually work in tandem with enterprises alongside their workforce,
  4. Checks, tests, timely analysis and counter-program is being provided to deal with any untoward event or bottleneck which may hamper this phase,
  5. BigData Dimension’s top management directly involves with the receptive businesses to provide solutions and monitor the progress of Data Visualization implementation.

Production Support

After the development of a solution, it is tested and is finally delivered to enterprises where its performance is being monitored and is gauged and plan Bs, Cs and Ds are being formulated beforehand to meet with any discrepancy which may arise thereby. Hence, at BigData Dimension, our customer service and support crew constitute the polished minds of the industry and remain accessible 24X7X365 and can support for any o the following objectives:

  • They design systems to be installed live with mock drills,
  • They can accomplish system preparation, for verifying required configuration and for examining delta and initial loads,
  • Evaluate the developed systems for any unexpected system behaviour or discrepancy,
  • Revise and reinstall production systems after the systems malfunction,
  • Securing lost data and to repair and examine erroneous codes,
  • Detect and resolve performance standards and to re-verify them,

Our Implementation Approach


We can absorb an idea and create an strategic roadmap for scalable solutions. This steps includes


An idea can never come to fruition without research. Be it sifting through the customer requirement and understand the current landscape.


We think sift through various ideas to create the next generation high performance data lake that work best. It helps to materialize the thought process and help in building all-muscled powered solution.


We prototype the idea to bring to life the thoughts, and research.


We identify and optimize the underlying points where enriching solution initiatives can be implemented.

Advisory Services

We collect all the relevant information needed to build scalable solution and share our thoughts with the customer to give life to our idea.

Tool Evaluation

We perform the tool evaluation based on the customer requirement and suggest the best solution that suites their need.


We convert abstract ideas into meaningful design by prepping, Ingesting and building metadata repository. This section includes

Data Prepping

Prep the raw data and build the necessary schemas on our data lake.

Data Ingestion

Ingest the raw data into structured format and streamline the load process.

Metadata Repository

Build metadata repository to maintain the schema, data profiling and data cleaning process.

Data Traceability

Build data lineage and batch processing to track data lineage.

Change Data Capture (CDC)

Build CDC mechanism to fetch the delta load.


We transform structured and unstructured data sets to build scalable solution. This section includes

Prepare Data

Build standardized structure of common and custom data sets.

Data Profile

Perform data profile process to check anonymity on data.

Data Quality

Perform data cleaning rules to make golden copy of the record.

Data Governance

Perform integrity and security process on data.

Data Masking

Apply data masking and encryption on sensitive data.


Perform data analysis to transform the data into information


We build custom solutions on Bigdata, Data Visualization, Talend, Cloud, Data Visualization, BI and application development. This section includes

Publish Data

Provide access to data semantic layer to analyze what has occurred.

Data Consumption

User can test the data from the semantic layer.

Data Visualization

User can visualize the data from the semantic layer.


We ensure proper training, support and administration service is provided. This section includes

Training Solution

Provide customer training

Support Solution

Provide Change and growth management solution


Provide administration and configuration solution.

Our Deliverables

This type of engagement typically produces:

  • Confirmation of business requirements
  • Data Visualization Advisory Solution
  • Tool Evaluation Solution
  • Data Visualization solution design and implementation
  • Comprehensive Data Visualization Lake system documentation
  • Configuration and Administration Solution
  • Support personnel and user training
  • Change and growth management support
  • Training Solution

Our Implementation Team

To plan, build, implement and support Data Visualization solution, BDD uses an expert team of Data Visualization experts with specialty expertise on Data Visualization project implementation. We further provide our own proven development methodology, and will function closely with your implementation need. Project teams typically include the following roles and responsibilities:

  • Project Manager
  • Business Analyst
  • Data Visualization Architect
  • Java Architect
  • AWS Architect/Developer
  • Data Architect
  • Java Developer
  • Data Visualization Developer
  • ETL Developers
  • Data Visualization Tester
  • DBA


Managed & Advisory


Bigdata lake Beam 360 Starter


MDM Beam 360 Starter