• LinkedIn

  • Follow via Facebook

  • Follow via Twitter

  • Submit RFP

  • Contact Us

Astutely Individualized Marketing With Customer Centric Approach:
Retail Analytics Complacence:

Customer Research Target Campaign Shopper Loyalties
Mobile Commerce Social Ad Marketing

Insightful businesses passionately collect and diligently maintain customer  profiles alongside a lengthy tailing detail which include everything ranging from their past purchase to likes and preferences and from selective product range to incurring rebates and discounts and also where delicate product feedback and reviews are also being highlighted. Needles to say but in today’s widely competitive and profoundly digitized global village type of market and ensuing stiff competition, such a collection of data is considered to be of immense worthiness for formulating and putting precise business decisions into practice, but it calls for skilful manipulation of such gross customer statistics by harnessing which, a business can draw greater business dividends. In other words, by churning such a large volume of customer records and customer analysis data, in the light of delicately programmed tools, (such as customer analytics) abstract customer profiles can be garnered, after the review of which, befitting and palatable business drives can be re-directed as a business would tap into the customer preference foray and their delights would be duly taken care of. Customer data, as such, can be assimilated through multiple sources and then customized inferences can be drawn on such raw form of data which is thereby collected on account of reliable media. Hence, when a business simply steps onto the arena of multichannel marketing there need to be utilized such a predominant skill, with which a wider pool of customer centric data such as purchase history records, different types of loyalty schemes enabled in the past by the competitors, customer(s) views and opinions, real time accomplishments, prominent online events, customer feedback, additional product requirements and features, customer reactions and so forth.

 As such, verifying customer exactness, i.e. exact time of purchase, exact method of making a purchase and zeroing in on the exact place or point of purchase, can rightly trigger enormous business marvels and can also secure a flourishing business with a delectable competitive edge over its competitors. Further and in continuation to the above mentioned argument, by riding upon supreme business intelligence, a forward looking business can wear enchanting business dynamism and can outline the precise product features which are widely being favoured and hence are expected in the concerned product by customers at length and the product is to be re-refined for such a purpose that is backed by resounding business backbone. Certainly, but by adhering to a personalised marketing campaigns, utmost value can be garnered from both classes of customers, which are high dollar amount one and the ordinary ones who seldom makes a purchase. Such a customer record can be maintained by the virtue of customer data which is an assimilation of predictive analysis. Likewise, an insightful marketer can also soar higher on the account of marketing mix, key channels of supply of goods, capturing customer preferences and by simple re-tuning to customer sentiments and by working to that tune in a diligent manner. Sans doubt, an ideal business or a corporation should simply be accustomed to tap upon the popular customer nerves and then should deliver the perceived experience at the right time and in the measured price while building and invoking the appropriately optimized channel.

Presenting below are some of possible instances a business can adheres to, in order to generate super rich business dividends:

  • Installing a system to act like a recommendation engine to seek product recommendation,
  • Precise customer research,
  • Making best of use of inter-communication with customers through friendly email and chat based communication,
  • Through webpage optimization as well, businesses can secure rich details about customer behaviour and the popular sentiments as prevalent thereby,
  • By awarding product and pricing alerts from time to time or during year end or festive seasons,
  • By bountifully awarding attractive shopper loyalties and mega discounts at times,
  • By arranging for a comfortable, personalised and profoundly sophisticated shopping experience across all the prevalent channels,
  • By tapping upon the widely used customer devices such as mobile phones and by emailing customers in a convincing manner to alert them about the prominent product features and rich deals unravelling thereby,
  • By resorting to meticulous customer value campaigns, rich benefitting campaigns which would simply reward customers if they shop for a certain amount under the definite product categories as determined by the business corporation after a thorough research on customer behaviour,
  • Diligently Mobile Commerce: Business can reap richer gains than the normal days, only when attractive loyalties, richer discounts and freebies are awarded as free gifts to consumers who simply are pestered to spend some specific amount at a certain point of time.

BigData Dimension: We are the flag bearer in constructing such feature packed retail analytics and customer analytics systems which would simply automate business operations and would dazzle the management with rich insightful as it would be collected at just the click of a button, in a matter of a few minutes. Hence, businesses are consulted and are enabled to carry out precise customer centric campaigns and to implement other type of marketing tactics in order to garner fruitful business revenue out from the pool of target customers.

Let Us Help You – With Your Bigdata Lake Needs

Our Approach

Ideate

We can absorb an idea and create an strategic roadmap for Retail,Food & Beverages Analytics. This steps includes

Research

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

Brainstorming

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.

Prototype

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

Advise

We identify and optimize the underlying points where enriching Retail,Food & Beverages Analytics initiatives can be implemented.

Bigdata Lake Advisory

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

Tool Evaluation

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.

Design

We convert abstract ideas into meaningful Retail,Food & Beverages Analytics design by prepping, Ingesting and building metadata repository.
This section includes

Data Prepping

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

Data Ingestion

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.

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.

Transform

We transform structured and unstructured data sets in Retail,Food & Beverages Analytics. 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.

Analyze

Perform data analysis to transform the data into information

Build

We build custom solutions on Bigdata, MDM, Talend, Cloud, Data Warehouse, 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.

Manage

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

Administration

Provide administration and configuration solution.

Our Services

Configuration & Installation Services

We provide Hadoop Configuration & Installation services.

Architecture & Development Services

We provide Hadoop Data Lake Architecture and Development Services.

Upgrade Services

We provide speciality services to upgrade your existing Hadoop Bigdata Lake

Support Services

We provide managed and production support services

Training Services

We provide training services to our customer to bring them upto the speed on the delivered work.

Our Deliverables

This type of engagement typically produces:

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

Our Process

We follow agile methodology and our project run in Sprints: iterative cycles of requirements gathering, analysis, design and development – that are focused on a given subject area. We utilize JiRA and other ticketing tools to manage project releases in an agile way.
We follow lean principles of Scrum to develop project iteratively and present the solution with the use quickly. This helps in getting feedback sooner and any issues reported by the user will be fix quickly.

Managed & Advisory
Services

ENTERPRISE GRADE PROFESSIONAL SERVICES & CUSTOMISED SOLUTIONS

Bigdata lake Beam 360 Starter
Solution

ENTERPRISE GRADE PROFESSIONAL SERVICES & CUSTOMISED SOLUTIONS

MDM Beam 360 Starter
Solution

ENTERPRISE GRADE PROFESSIONAL SERVICES & CUSTOMISED SOLUTIONS