Advance Analytics benchmarking the enterprise growth
Transcript of Advance Analytics benchmarking the enterprise growth
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ADVANCE ANALYTICS- BENCHMARKING THE ENTERPRISE GROWTHEND USER LANDSCAPE & VENDOR ANALYSIS
SAMPLE REPORT
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TABLE OF CONTENTS
PROJECT SCOPE1.
Large Enterprise (<=1000 People)5.1.1
INTRODUCTION2.GLOBAL ADVANCED ANALYTICS- BUSINESS VALUE3.GLOBAL ADVANCED ANALYTICS MARKET- BROAD CATEGORIZATION 4.
Types of Analytics4.1Market Breakdown4.2
GLOBAL ADVANCED ANALYTICS MARKET- DEMAND SIDE BREAKDOWN5.By Organization Size5.1
SMB&E (1-999 People)5.1.2
American Continents5.2.1
By Region5.2
Europe5.2.2APECJ5.2.3MEA5.2.4
By Industry5.3
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TABLE OF CONTENTS
BFSI5.3.1Healthcare & Life Science5.3.2IT & Telecom5.3.3Manufacturing & Automotive 5.3.4Retail5.3.5
GLOBAL ADVANCED ANALYTICS MARKET- ADOPTION RATE6.By Regions6.1By Advanced Analytics Models6.2Reason for Adoption – User View6.3
MARKET DRIVERS FOR ADVANCED ANALYTICS7.Top Capabilities and Features7.1Barriers to Adoption- User View7.2Parameters for Choosing Advanced Analytics- User View7.3
WHY ADVANCED ANALYTICS- USER VIEW8.
SPENDING BY ORGANIZATIONS9.IT Spending9.1
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TABLE OF CONTENTS
Advanced Analytics Spending9.2
CHURN ANALYSIS10.
ADVANCED ANALYTICS- IMPACT SCALE11.
PORTER’s FIVE FORCE12.
PRICING OF THE PRODUCTS13.
USER VIEWS ON VENDORS- ON TOP PARAMETERS14.
INFOHOLIC’s FOUR WALL15.
VENDOR ANALYSIS16.By Top Vendors16.1By Verticals 16.2
OTHER PROMINENT PLAYERS17.
ADVANCED ANALYTICS USE- BY EXAMPLE18.
TECHNOLOGICAL GAME CHANGERS19.Analyst & Stakeholder’s View19.1Key Trends19.2Advanced Analytics Platforms-201619.3
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TABLE OF CONTENTS
By End-Users20.1
STAKEHOLDER’s QUOTES20.
By Vendor’s20.2
INFOLOHIC’S OBSERVATION21.
ADVANCED ANALYTICS - AT A GLANCE22.
PROJECT METHODOLOGY23.
ABOUT INFOHOLIC RESEARCH24.
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PROJECT SCOPE
Advanced Analytics by: Type of Analytics Descriptive Prescriptive Predictive
By Adoption By Size
• Large Enterprise• Small Enterprise
By Region• American Continents • European• APEJC• MEA
By Verticals• BFSI• Healthcare & Life Sciences• IT & Telecom• Retail• Manufacturing & Automotive
Market Drivers Reason for Adoption Barriers to Adoption
Spending IT spending Advanced Analytics Spending
Key Trends Impact Scale Churn Analysis Stakeholder’s Insight End User Vendor
Advanced Analytics Use: By Examples Key Trends Strategic Recommendations
Advanced Analytics by: Infoholic’s Four Wall Why Advanced Analytics Porter’s Five Force Game Changers Top 10 Vendor Analysis User Views through top
Parameters
End-User Vendors
* APEJC-Asia Pacific Except Japan & China
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INTRODUCTION
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Traditional Analytics Advanced Analytics
ANALYTICS GROWTH MATRIX
TRADITIONAL ANALYTICS
Business Intelligence
Unstructured Data
Structured Data
Traditional Analytics Capabilities
Reporting Monitoring Dashboards
OLAP ADHOC Query Scorecards
Technology Driven
Cloud Computing Big Data
ADVANCE ANALYTICS
Predictive Analytics
Descriptive Analytics
Perspective Analytics
Structured Data
Unstructured Data
Business Intelligence
Data Visualization ETL & Data Management
Statistical Analysis
ADHOC & Standard Reports
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GLOBAL ADVANCED ANALYTICS- BUSINESS VALUE
Sales Analysis
Market Analysis
Customer Analysis
Financial Analysis
Risk Analysis
Inventory Analysis
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Business Value Investment
Valu
e of
Ana
lytic
s
Enterprise Growth
ADVANCE ANALYTICS
IncrementInvestment
High Business Value
Data
Structured Data Unstructured Data
Customer Data Market Data Sales Data Product & Services Data Financial Data Enterprise Data Inventory Data
The information that was locked in Silos for years have found meaning and Advanced Analytic is driving force behind it. Advance analytics has become an advantage for achieving a desired business outcome, higher end user profitability and efficient
and effective business operations. The rapid growth of Big Data is the key driver for this market. Also organizations have now realized the high ROI potential these
tools provide.
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GLOBAL ADVANCED ANALYTICS MARKET- BROAD CATEGORIZATION
Business Reporting Dashboards Scorecards Data Warehousing
Well defined business problem & opportunity
Descriptive
Data Mining Text Mining Web/Media Mining Forecasting
Impeccable projections of the future states and conditions
Optimization Simulation Decision Modelling Expert Systems
Best possible business decision and transactions
What HasHappened?
What CouldHappen?
What ShouldHappen?
Enablers & Outcomes
Predictive Prescriptive
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ADVANCED ANALYTIC MARKETS- BREAKDOWN
XX%
XX%
XX%
Predictive Descriptive Prescriptive
*Base: 250
XX% XX% XX% XX%XX%
XX% XX%XX%XX%
XX% XX% XX%
AmericanContinet
Europe MEA APEJC
Region Wise Adoption
Descriptive Predictive Prescriptive
XX% of Users believe Predictive analytics is the way to go. By end of 2016 the Predictive analytics market will be close to $XX
billion The Predictive Analytics market is estimated to grow at XX% for
next XX years Next few years we will see industry lean more towards prescriptive
and predictive analytics.
Predictive analytics has the most prominent place in AmericanContinent.
America is the market leader in adoption of Advanced Analyticsand this can seen as many innovations have come from west.
Our Analysis suggest that in next few years there will be in surge inMEA and Asia Pacific region towards Advanced Analytics.
*APEJC- Asia Pacific except Japan & China*There are multiple response
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GLOBAL ADVANCED ANALYTIC MARKETS: BY SIZE
XX%
XX%
By Size
Large Enterprise SMB
XX%
XX%
XX%
XX%
Large Enterprise SMB
Adopted Not Yet
*Base: 250
*Large Businesses (greater than 999 employees)
*Small & Medium Businesses (1-999 employees)
Adoption of Advanced Analytics have been greater in Large enterprises. The enterprise tends to spend mainly on Technology that aligns to their business strategy.
*Base: 250
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GLOBAL ADVANCED ANALYTIC MARKETS: REGION WISE USER BREAKDOWN
MEA 18%American Continent
30%
Europe 24%
APEJC 28%
*Base: 250
*APEJC- Asia Pacific except Japan & China
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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GLOBAL ADVANCED ANALYTIC MARKETS: ADOPTION RATE
XX%
XX%
XX%XX%
XX%
XX%
Cloud Based On-premise Hybrid (Mix Model)
Have Adopted Will Adopt
XX%XX% XX%
XX%
American Continet APEJC Europe MEA
No matter how much buzz cloud gathers, there isstill a big elephant sitting in the room to beaddressed i.e. security.
The security issue makes the adopter think. So thesame can be seen here in selection of analyticssolutions i.e. On- Premise based solution.
There is also greater emphasis on Hybrid model.
*Base: 250
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MARKET DRIVES FOR ADVANCED ANALYTICS: REASON FOR ADOPTION
XX%
XX%
XX%
XX%
XX%
XX%
XX%
Others (Value addition, Revenue, etc.)
New Product identification and creation
Risk and Reaction to Economic changes
Enablement of key initiatives
Capability to respond to buying trends
Relationship with customers and business
Data Based Decision making
Reason for Adoption
Data Based decision making and to maintain relationship with customers is the primary reason for adoption.
*Base: 250
*Multiple responses
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WHY ADVANCED ANALYTICS- USER VIEWS
Value addition to the business
Address/predict customer needs
Manage data to drive growth
Increase profitability and drive growth
Meet supply demand
To anticipate trends to act upon
Address revenue management
XX%
XX%
XX%
XX%
XX%
XX%
XX%
Value addition to existing structure (i.e., CRM) XX%
The outcomes that are expected by end users user through
Advanced Analytics is to have a desired business solution and
customer profitability in different industry vertical
Advanced Analytics will add value to business
It will address/predict customer needs
Hence better business performance, strategic decisions, and
operational efficiency will be achieved in the enterprise
*Base: 250
*Multiple responses
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ADVANCED ANALYTICS SPENDING BY ORGANIZATIONS IN %
XX%
XX%
XX%
XX%
XX%
Less than 1% 1% to 5% 5% to 10%
10% to 15% More than 15%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
Less than 1% 1% to 5% 5% to 10% 10% to 15% More than 15%
Large Enterprise SMBs
The Average spending on Advanced Analytics has increased by XX% yearly. Advanced Analytics is slowly capturing the eyes of all enterprises
*Base: 250
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CHURN ANALYSIS
XX%
XX%
Willing to Change Vendor
Yes No
XX%
XX%
XX%
XX%
Issues with Existing structure
Unable to solve the need
Accessibility of the product
Cost is an issue
Top Reasons for Unsatisfactory solution
Based on interviews and survey, XX% are ready to change vendors
The reasons to change:
Cost
Accessibility
Unavailability of need based solution
Issue relating to current structures
The opportunity for vendors lies in understanding the pain points of end users.
*Base: 250
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PROJECT SCOPE
Alpine Data
Kognitio
Truven
Cloudera
WiproSwiftIQ
Capillary Tech
MexiaInteractivePellucid
NoMi
EMERGERS
SDL Web
OpenText
Dell
Targit
SDL Web
Yellow Fin
RetailNext
Accenture
Convergys
RapidMiner
TableauSASMicrosoft
Qlik IBM
MicrostrategyKnime
GenpactHP
Angoss
DOMINIONSHigh
Low
CLIMBERS
Low
High
INNOVATION
END
-USER
BUSINESS STRATEGY
MAR
KET
GRO
WTH
INFOHOLICFOUR WALL
1
1.4
1.6
1.7
1.9
2
2.3
2.4
2.5
3
Knime
Accenture
Tibco
Oracle
Microstrategy
IBM
Qlik
Microsoft
SAS
Tableau
VENDORS’ LANDSCAPE
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ADVANCED ANALYTICS INDEX- TABLEAU
XX%
XX%
XX%XX%
XX%
XX%
Vertical Mapping
BFSI
Manufacturing
Retail
Healthcare
Energy & Utilities
Entertainment
Advance Analytics Factors User Rating
Ease of use XXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Cost of product/solutions XXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Scalability of the product/solutions XXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Vertical specific solutions XXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Vendor strength & reputation XXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XX%
XX%
Enterprise Usage Mapping
SMB
Large Enterprise
Tableau provides analytics and business intelligence software solutions in the
United States, Canada, and international. The products use a range of
technologies in domains such as computer graphics, human-computer
interaction and database systems. They have over 26,000 customer across a
range of company sizes and industries located in over 150 countries.
Tableau is precise, elegant, and engaging with todays innovative markets and
competitive practices by providing easy to use and powerful mapping and
charting abilities removes the inherent complexities of understanding SQL for
business users.
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TOP VENDORS IN EACH VERTICAL- USER RATINGS
XX
XX
XX
XX
XX
Oracle
IBM
Microsoft
SAS
Tableau
BFSI
XX
XX
XX
XX
XX
MedeAnalytics
Verisk Analytics
Oracle
OptumHealth
IBM
HealthCare
XX
XX
XX
XX
XX
Dell
Tableau
MicroStrategy
IBM
Microsoft
IT & Telecom
XX
XX
XX
XX
XX
OpenText
FICO
Oracle
IBM
SAS
Manufacturing
XX
XX
XX
XX
XX
Birst
Microsoft
IBM
RetailNext
SAS
Retail
The Top 5 Players from each verticals have
been shown.
Ratings have been taken on a scale of 1-10
It is purely based on user ratings
User’s have rated these players based on
parameters
Product & Service
Cost of the product
Ease of Access
Innovation
Customer Relationship
Brand Value
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OTHER PROMINENT PLAYERS
Opportunity for these companies to climb the Infoholic Wall is visible by analysis. These companies may turn out to be a dominant force in coming years.
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ADVANCED ANALYTICS–KEY TRENDS
ADVANCED ANALYTICS TRENDS FOR 2016
Advance analytics is going to be more prevalent in 2016 with the enhancement in the IoT, Artificial Intelligence, Big Data, Cloud Computing and
Digital Intelligence technologies.
Big Data to Smart Data :Companies will look for new tools and new data sources that allow users to explore the data, then share their findings in
a secure, governed, and interactive way.
Agile analytics is driving the data analytics to explore the data in a real time basis with the data trust and automated data testing by using agile
tools and methods.
Advanced digital transformation and digital strategy will increase the customer value and business value
Advance Analytics: Advance guard for data security which is the key concern factor for business and technology leaders due to exponential
growth in organisational data volumes.
High level integration between the consumer and industrial applications to get real time, valuable and actionable data insights.
Increased workforce and human resource capital : Talent Analytics is the prior analytics solution for C-Level Executives to achieve talent
intelligence and employee engagement in the enterprise.
Sales analytics, Retail analytics: Advanced analytics platforms allow enterprise to have a glimpse into the future by studying hidden patterns and
valuable insights on current and future consumer behaviours, product.
Advanced analytics model and algorithms is being embedded in augmented and cognitive computing to make the man-to-machine and
machine-to-machine communications more understanding and natural for fast & better thought process and decision making process
throughout the enterprise value chain.
Open source applications and crowd sourcing with a overreaching technological solution in different industries are making a way in the
enterprise to make statistical and complex business process much more easier for the end users.
Data monetization to get micro level data insights and data accuracy for competitive advantage
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QUOTES-STAKEHOLDERS (END USER)
Sai Venkatesh AttaluriHead - Big Data AnalyticsNetxcell Limited, India
In the current scenario, the academicians do research on sample data while the industry people work on actual data with their experience and intuition. Big Data and Advanced Analytics will be fruitful when the academicians and industry executives
work together hand in hand collaboratively.
“ “Haikel LatiffIconicfuture GmbHEurope
There is a demand for Advance Analytics, however they need to be more structured to support this demand.“
“Vinod GuptaDirector - Network AnalyticsEricsson Global Services, India
Network Analytics helsp the telecom operators to get insights about consumer behaviour & helps them to
reduce churn & retain high revenue subscribers.“ “Debarshi GoohaCEOMiller Marketing & Advertising
It will makes sense for small businesses to invest in Analytics provided the pricing of such tools are just about
2% to 3% of the turnover.“ “
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QUOTES-STAKEHOLDERS (END USER)
Dr Gnana BharathySystems Wisdom & HealthShare/ eHealth NSW Australia
Data science must be combined with design and diagnostic sciences to yield value.“
“
PrithvirajSr. Manager-AnalyticsSapient, India
Advance Analytics is the future. Stakeholders use to make decisions on the existing data, and now it has
stepped up to the next level where now everyone is trying to predict the future (while considering the past) to shape
up their business.
“ “Prashant kumarPresident, AsiaIPG- Malaysia
Data is the new premium. How we curate data, how we organise it to influence our demand and supply chain
decisions, will be key to sustainable margins and competitive advantage for companies in the future.
Productivity of nations used to be linked to land and capital in the old economy. Data is the energy of the future and smart data will be central to productivity of nations and
their per capita income.
“ “
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QUOTES-STAKEHOLDERS (END USER)
Aalia KaraHead: Advanced Analytics and Data ScienceBarclays Africa Group LimitedJohannesburg, SA
The current market of Advanced Analytics and Data Science globally is not reaching its potential to transform corporates due to unqualified people employed into
positions that require a specialization and noted experience. The only difference between Advanced Analytics and Data Science is the platform utilized. The one
generates insights and leads using batch data from a data warehouse and the other enables insights and leads in real-time using complex event processing from a big
data platform. The algorithm and models are largely the same. The fact that organizations split up Campaigns, MI, Advanced Analytics and Data Science into
separate areas is testament to organizations recruiting unqualified employees and in so doing hindering the possibility of adequately leveraging the full power of data
usage to become an organization asset and ultimately a game changer.
““
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QUOTES-STAKEHOLDERS (VENDOR)
Paul GroomChief Operating OfficerKognitio, London
Analytics will become increasingly complex and time sensitive, spurred on by big data platforms such as
Hadoop and tools such as Tableau and R. 'Efficiency' will become the new watch-word as businesses
manage their investment in analytical Infrastructure -cluster sizes will be kept in check. Kognitio will lead
the way in ultra-efficiency for complex analytics offering dramatically better throughput with less
effort on the Hadoop platform.
“ “
Wael ElrifaiDirector of Enterprise Solutions & Big Data GuruPentaho, UK
I believe that Industry 4.0 and Smart Cities initiatives will be particularly transformative for us in the coming
decade; giving us more leisure time, improving our health, and making us happier. I encourage cities to take a leadership role, integrating and sharing their
data in a global effort to better understand and improve our world.
“ “Jaydeep DeshpandeRegional Marketing ManagerQlik, India & SAARC
Qlik compared to other market players has a different approach to the Advanced Analytic market. They are trying to make the solution which would have self-
visualization capability, which is could be operated by any personnel in the organization and need not have to
worry about how it’s extracted to how it’s visualized. Other vendors in the market have a linier approach to
the market and would require a personnel who is expert in data scientist to use the tool.
“ “
Michael Berthold President, Knime AG, UK
To us at KNIME, the very openness of great open platforms for data innovation makes perfect sense: They’re more powerful
because they’re highly integrative, developed around transparency and trust, and they help organizations become more agile and collaborative in their data innovation, all with fewer risks, at lower cost and in less time. And it’s because of
these advantages that we’re seeing a lot of large global organizations and institutions actively consider and adopt open platforms for their data science teams. Ultimately, we think that open platforms, their very committed users and their advanced ecosystems will bring about the most interesting breakthroughs
in data-driven innovation.
“
“
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INFOHOLIC’S OBSERVATION
End users mainly compare Vendors using different criteria before finalizing one, depending on which is more valuable to their organizations:
Cost Parameter (important for Small and Medium Enterprise).
Features and benefits
Vendor’s Support and training
Integration to existing structure ( Mainly for Large Enterprise)
Demand for BI with Predictive Analytics (Advanced Analytics):
Products focused primarily on self-service Business Intelligence (e.g., data exploration, data visualization, dash boarding and reporting) are
being enhanced with predictive features.
Some examples of these products are Microsoft Power BI, QlikSense, SAP Lumira, and Tableau, among others.
Simplified Analytics:
Products that include basic features of BI but are primarily focused on advanced analytics and have simple, drag-and-drop or point-and-click
interfaces with built-in automation features., These tools are built primarily for data driven users.
Example of this category include Alteryx, Alpine Data Labs' Enterprise Platform, SAP Predictive Analytics, SAS Visual Analytics/Visual Statistics,
and TIBCO’s Spotfire.
Selecting the right Advanced Analytic solution in an enterprise will depend upon breadth of the deployment that an organization needs, skills of
the workforce and nature of the decision makers that will depend upon it.
Predictive analytics has emerged as a leading solution and there should be right talent to use it. Lot will depend upon the usage of the
technology
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INFOHOLIC’S OBSERVATION
i. Training end user toward the use of Advanced Analytics can lead to higher adoption rate.
ii. Cloud based Advanced Analytic solution is the way for future as many (XX%) users feel that adoption will increase.
iii. Social, Email, Blogs, Video, Mobile analytics will continue to play a major role for all businesses.
iv. Customers are and will seek Integrated Hardware and Software for Analytics Workloads.
v. Data Visualization is becoming a Business Requirement.
vi. Organizations are Infusing Big Data Analytics into All Decision-Making Activities.
vii. Companies are Turning to Predictive Model Markup Language (PMML).
viii. Health Care and BFSI verticals have been in the forefront of Adoption, the focus area will now shift toward less adopted verticals such as
Manufacturing, Education Media etc.
ix. The growth in APEJC have been drive by Large enterprise, the focus will shift towards SMBs by offering price competitive solution.
x. In India Healthcare is least focused area, the opportunity certainly lies in driving the adoption in this area.
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ADVANCED ANALYTICS - AT A GLANCE
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ABOUT INFOHOLIC RESEARCH
Infoholic Research is a global ICT market research and consulting organization providing strategic and high-level market intelligence inemerging and niche technologies. Founded in 2014, we are headquartered in India with an office in U.S and with consultants workingacross the globe. Our market analysis powered by rigorous methodology and quality metrics provides information and forecast acrossall the emerging markets, technologies and business models. We aim at delivering high quality results to our clients providing themwith in-depth industry insights to identify new business opportunities and nurture their business strategies.
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