Wednesday, June 3, 2009

QlikView vs. SAS

Dear Readers,

In past few weeks I saw some good marketing/Sales activities from SAS, even in some cases they were in competition with me. My prospects were asking for comparison between QlikView and SAS then I decided to share that comparison with you.

Apart from the detailed comparison bellow in my view SAS have some excellent capabilities when it come to data mining, OR and Quality Improvement, and Data Quality (By using data flux). QlikView also cover these parts but not in the way how SAS do. Instead being a good tool SAS requires a good budget also for cost of ownership as well as for cot of maintenance. Also it is not very much helpful when it come to ad-hock reporting and it is not very much helpful to End-user( Top Bosses) and become an IT tool only.


 

I love to see you view on my article.

# 

Product 

QlikView 

SAS 

    

A 

Product 

  

  

1 

Product  

QlikView: Worlds Fastest Growing BI tool. With 14. customers being added every working day.

SAS EBI 

2 

Vendor  

Qliktech 

SAS Institute.

  

Qlikview is a IN-memory based BI tool which can be deployed in a weeks time. It comes at HALF the TCO and delivers TWICE the value compared to any OLAP based BI Solution In QUARTER of the TIME

 

C 

Applications 

  

  

1 

Business intelligence 

Qlikview is a single integrted tool for ETL, DW, Multi Dmentional Analysis, Dashboarding, Reporting, as per the Butler group user takes couple of hours training instead of weeks taken by traditional OLAP based tools

Yes 

2 

Multi dimensional view 

  

3 

Strategic planning 

Yes 

4 

Budgeting 

Yes 

5 

Forecasting 

Yes 

6 

Consolidation 

Yes 

7 

Scorecarding  

Yes 

  

  

 

D 

Hardware and Licenses 

  

  

1 

Warehousing is (Mandate/ Optional)  

NOT REQUIRED, One of the the major advantage of usinq Qlikview is, it does not require database which saves money and very wel skilled human resource. With no datawarehouse required Qlikview can be impleted in a couple of weeks saving a lot of TIME, MONEY AND RESOURCES.

Optional 

2 

Server Licenses(Named/CPU) 

Named 

SAS predominantly supports CPU based licensing, however in specific scenarios named licensing is also supported. 

3 

User Licenses (Name/Concorent/Unlimited) 

Named 

Unlimited 

4 

Web Users 

User lic 

Unlimited 

5 

If preparatory Database specify (Technical and Methodology) 

NO: Qlikview uses its integrated Robust ETL to Extarct data from multiple data sources and forms a data repository using its patented Technology (AQL: Associative Query Logic) This technology overcomes the efforts and time required to build datawarehouse, normalization, schema writing, creation of cubes. And Empowers the customer to be independent of the vendor to creat and use analyitcs

SAS Intelligence Storage (SPDS) which is based on OLAP technology i.e. the database is tuned for querying and reporting puposes. However SAS also natively integrates with all major database systems.

  

  

 

E 

Technology 

  

  

1 

Supported database  

Any OLEDB, ODBC complaing which covers althe datbase in the world today + FLAT FILE, WEBFILE. TEXT FILE DELIMITED FILE. ALSO WORKS WITH SYBASE

  

  

Microsoft SQL Server 

Y 

Y 

  

Oracle 

Y 

Y 

  

Pervasive SQL 

Y 

Y 

  

IBM DB2 

Y 

Y 

  

Informix 

Y 

Y 

  

Access 

Y 

Y 

  

FoxPro 

Y 

Y 

  

Progress 

Y 

Y 

  

MySQL 

Y 

Y 

2

Supported networks 

  

  

  

Microsoft 

YES 

Y 

  

Linux 

Y TO CONNECT TO THE DATABASE 

Y 

  

Unix 

Y TO CONNECT TO THE DATABASE 

Y 

  

AIX  

Y TO CONNECT TO THE DATABASE 

Y 

  

Novell Netware 

Y TO CONNECT TO THE DATABASE 

Y 

  

IBM AS/400 (OS/400) 

Y TO CONNECT TO THE DATABASE

Y 

3 

Development tools used to build application 

NO THIRD PARTY DEVELOPMENT TOOL REQUIRED. THE CUSTOMER BECOMES VENDOR INDEPENDENT FOR ANY NEW APPLICATION/ CHANGES REQUIRED 

COM, Java, SOA 

4 

Report writer used - which one(s)? 

NO THIRD PARTY TOOL REQUIRED

SAS Enterprise Guide 

5 

Data Extract Transform Load (ETL) tools - which one(s)? 

NOT REQUIRED: QLIK VIEW HAS ITS OWN ROBUST ETL INTEGRATED AS A QLIKVIEW SUITE. THE ETL IS WIZARD DRIVEN CAN BE LEARNT IN A FEW DAYS AND OPERATED BY CUSTOMER HENCE EMPOWER THEMSLEF TO CREAT OWN APPLICATION AS AND WHEN DEMAND ARISES

SAS Data Integration Studio 

6 

Cubes supported - which one(s)? 

IN ADDITION TO ITS OWN DATA REPOSITORY QLIKVIEW SUPPORTS ALL MAJOR OLAP CUBES 

All OLAPs and cubes created using SAS OLAP

7 

Existing integration to accounting and ERP systems - which systems? 

ALL ODBC COMPLAINT DATABASE(all the current database in the market) IRRISPECTIVE OF THEIR FRONT END, SAP USING A SAP CERTIFIED CONNECTOR 

SAP, PeopleSoft, JDE, SSA Global/BAAN, Portal integration kits

8 

Existing integration to customer relationship management systems - which systems? 

BY MEANS OF THE GLOBAL STANDARD ODBC, OLEDB CONNECTIONS (all major crm system) 

Siebel and other major CRM tools 

9 

Existing integration to payroll systems - which systems?

BY MEANS OF THE WORLD STANDARD ODBC, OLEDB CONNECTIONS( all major payroll system) 

All major Payroll Systems 

10 

Existing integration to HRMS systems - which systems? 

BY MEANS OF THE WORLD STANDARD ODBC, OLEDB CONNECTIONS (all major hr system)

All major HR systems 

  

  

 

F 

Features  

  

  

1 

Analytic functionality 

YES 

Yes, please see below (feature # 83) for further details

2 

Bubble up exceptions 

This feature is better handeled where the exceptions are managed at the lower level and not poped to the upper layer and confuse the user. However all precautions are taken to handle the exceptions eficiently.

Yes 

3 

Drill down 

YES 

Yes 

4 

Drill through to source data 

DRILL DOWN TO THE TRANSACTIOANL LEVEL. AS AGAINST TO THE AGREGATED DATA IN CASE OF OLAP BASED APPLICATIONS

Yes 

5 

Ranking 

YES 

Yes 

6 

Sorting 

YES 

Yes 

7 

Restrict results by date range 

YES 

Yes 

8 

Includes dashboard 

YES 

Yes 

9 

Time trending (for example, over 12 months) 

YES AS MANY YEARS AS THE DATABASE HOLDS 

Yes, along with basic time series forecasting

10 

Pareto filtering (automatically groups the categories that amount to less than 20% of a row or column total into "other") 

YES 

Yes 

11 

Calculations 

YES 

Yes 

12 

Counts 

YES 

Yes 

13 

Percentage of total 

YES

Yes 

14 

Allocations 

YES 

Yes 

15 

Total and Sub-total 

YES 

Yes 

16 

Create OLAP cubes 

NOT REQUIRED 

Yes using SAS Olap Studio which created MDX compliant cubes.

17 

Data extraction and transformation tools 

INTEGRATED 

Yes 

18 

Incremental extraction 

YES

Yes 

19 

Impact analysis - objects impacted by change 

YES 

Yes. Reverse impact analysis is also possible, which means any changes in any of the DWH-BI process can be traced and impact analysis can be performed.

20 

Can schedule process to run overnight

YES 

Yes 

21 

Formatting 

YES 

Yes 

22 

By dimension 

YES: N DIMENTION 

Yes 

23 

By level 

YES 

Yes 

24 

By cell 

YES 

Yes 

25 

Zero-row suppression 

ZERO/NULL FIELD SUPPRESSION 

Yes 

26 

Conditional formatting by cell, e.g., highlight cells below threshold

YES 

Yes 

27 

Returns text (e.g., if value > 90, returns "excellent") 

YES 

Yes 

28 

French version 

UNICODE: CAN BE IMPLEMENTED IN ANY LANGUAGE 

Yes 

29 

Screens 

YES 

Yes 

30 

Reports 

YES 

Yes 

31 

Documentation 

YES 

Yes 

32 

Metadata 

YES 

Single Integrated Metadata across complete DWH-BI-AnI process. One interface to manage ETL, Business Intelligence, Dashboards, Cubes, Information Maps (semantic layer), Reporting, Analytical solutions.

33 

OLAP functionality 

NOT REQUIRED 

Yes 

34 

Skip missing levels - support ragged dimensions

YES 

yes 

35 

Write back 

NO 

Yes 

36 

With audit trail 

YES 

Yes 

37 

Includes charting tools 

YES 

yes 

38 

Access multiple cubes at a time 

YES 

Yes 

39 

Excel client 

YES 

yes 

40 

Internet Explorer client 

YES 

yes 

41

Netscape client 

FireFox 

yes 

42 

Geographical representation 

YES 

Yes 

43 

Drag and drop 

YES 

Yes 

44 

Attach notes to cube 

CUBES NOT REQUIRED SAVES TIME AND MONEY 

Yes 

45 

Attach notes to cells 

CELLS NOT REQUIRED SAVES TIME AND MONEY 

Yes 

46 

Password security

YES: UP TO THE FIELD LEVEL( BETTER THAN THE LISTING BELOW) 

Yes 

47 

By company 

YES 

Yes 

48 

By department or division 

YES 

Yes 

49 

By menu 

YES 

Yes 

50 

By function (view, add, change, delete) 

YES 

Yes 

51 

By dimension 

YES 

Yes 

52 

By level 

YES 

Yes 

53 

By cell 

YES 

Yes 

54 

Respect active directory authentication 

YES: CAN BE INTEGRATED WITH ACTIVE DIRETORY AUTHENTICATION FOR A SINGLE LOG ON PER USER 

Yes 

55 

Respect database security 

YES 

Yes, row level as well as colunmn level security

56 

Portal generation that includes HTML reports 

YES 

Yes 

57 

Report writer 

NOT REQUIRED: INTEGRATED FEATURE 

Yes 

58 

Web-based 

YES 

Yes 

59 

Generate cube 

NOT REQUIRED: OVERCOMES CUBE DRAWBACKS 

Yes 

60 

Drag and drop 

YES 

Yes 

61 

WYSIWYG report design

YES 

Yes 

62 

Technology 

YES (AQL) 

  

63 

API-enabled (SDK provided) 

YES 

Yes 

64 

Web-based (only need browser at client) 

YES 

Yes 

65 

For entire application 

YES 

Yes 

66 

Support for .NET web services 

YES 

Yes 

67 

Support for Java web services

YES 

Yes 

68 

Transfer data to: 

  

  

69 

Report writer 

QLIKVIEW IS NOT A REPPORT WRITER HOW EVER IT SUPPORTS GENERTING REPORTS AND THIS FEATURE IS INTEGRATED PART OF QLIKVIEW. 

Yes 

70 

Excel 

YES 

Yes 

71 

PivotTable 

YES 

Yes 

72 

HTML 

YES 

Yes 

73 

PDF 

YES 

Yes 

74 

PowerPoint 

COPY PASTE (CTRL+C, CTRL+V) 

Yes 

75 

XML 

YES 

Yes 

76 

Views 

YES 

  

77 

Crosstabs 

YES 

Yes 

78 

Charts 

YES 

Yes 

79 

Both crosstabs and chart at the same time 

YES 

Yes 

80 

Work flow 

Open to function with third party tools

  

81 

Alerts can be automatically triggered 

YES IN THE FORM OF POPUPS AND CAN BE USED TO AUTOMATE SENDING OF MAILS, ACTIVATE/RUN OTHER APPLICATIONS 

Yes 

82 

Dynamically summarizing data without having to rebuild data? 

ANALYSIS AT TRANSACTION LEVEL, WITH DRILL DOWN CAPABILITY FROM THE CONSOLIDATED ANALYSIS

Yes 

83 

Ability to pre-calculate results (aggregate) when they are available, or dynamically generating result from atomic information when necessary 

YES 

Yes 

84 

Ability to control and design cube aggregations

DOES NOT REQUIRE CUBES WHICH CAN HANDLE 3-10 DIMENTIONS ONLY. QLIKVIEW IS BASED ON AQL THAT CAN HANDLE AS MANY DIMENTIONS AS THE FILEDS AVAILABLE 

Yes 

85 

Ability to monitor cube performance and tune the cube aggregations accordingly 

DOES NOT REQUIRE CUBES WHICH CAN HANDLE 3-10 DIMENTIONS ONLY. QLIKVIEW IS BASED ON AQL THAT CAN HANDLE AS MANY DIMENTIONS AS THE FILEDS AVAILABLE

Yes 

86 

Can the cube be built using either of ROLAP, MOLAP, HOLAP techniques

DOES NOT REQUIRE CUBES WHICH CAN HANDLE 3-10 DIMENTIONS ONLY. QLIKVIEW IS BASED ON AQL THAT CAN HANDLE AS MANY DIMENTIONS AS THE FILEDS AVAILABLE

Yes 

87 

A hybrid database that stores data in relational form and multidimensional form, as appropriate 

QLIKVIEW DOES NOT NEED THIRD PARY DATABASE.

Yes 

88 

Is 'What-if" analysis supported 

YES 

Yes 

89 

GUI based Data Mining Capabilities 

YES 

Yes with SAS Enterprise Miner all different Data Mining Algorithms can be performed and the results can be viewed in desired format.  

90 

Enterprise Platform 

YES

Yes, SAS supports Enterprise Intelligence Platform which provides capability to integrate all components of DWH-BI-AI across organization. 

  

Statistical Analytical Modeling  

YES 

  

91 

Statistics 

YES 

SAS provides statistical data analysis tools to drive fact-based decisions.

92 

Data & Text Mining 

YES 

SAS provides tools to build descriptive and predictive models and deploy results throughout the enterprise. 

93 

Model Management & Deployment 

  

SAS provides tools to streamline the process of creating, managing and deploying analytical models.

94 

Forecasting 

YES 

Forecasting tools from SAS helps to analyze and predict outcomes based on historical patterns. 

95 

Econometrics 

YES 

Use SAS components for applying statistical methods to economic data, problems and trends.

96 

Quality Improvement 

  

SAS provides SAS QC to identify monitor and measure quality processes over time. 

97 

Operations Research 

  

Using SAS components to apply techniques such as optimization, scheduling, and simulation to achieve the best result.

98 

Data Quality 

AQL TAKES BUSINESS INTELEGENCE ONE STEP FURTHER THAN THE TREDITIONAL DATA WAREHOUSE ARCHITECHTURE - OLAP BASED SOLUTIONS  

SAS has its own data quality tool (Data Flux), which is tightly integrated with SAS ETL tool. The Data quality solution comes with Indian Names and Address based Quality Knowledge base. SAS also provides Master Data Management solution.

78 comments:

  1. One of My Reader Ronald have putted some comments on this article at www.linkedin.com where I highlight some parts of my blog. Below are his Question and my answer
    Sudhir,

    I never said I have anything against QlikView as a product - as a Business Intelligence tool. In fact - given the right requirements, QlikView is extremely powerful.

    I do have something against this type of pseudo-objective-writings that are really just advertisements.

    But your remark about DWH and next generation BI tools is interesting. Are you saying that Qlikview replaces all DWH and ETL functionality?


    Dear Ronald,
    I love to discuss at my blog only as it is readable by everyone who visit my page.
    If you look at QlikView architecture its not required to create a data warehouse as any how it is pulling data and storing it in QVW files which have GUI also and it is single layer architecture. So if we pull data either from raw table (Transaction System/Data base) or from Data warehouse it makes no difference as you are pulling required field/dimension and it is being stored in QVW file as its native way. I saw different software companies who propose QlikView as a front end tool that will be pulling data from Data warehouse. It is just to stretch the project so they can make more money on services as QlikView take very less time to implement hence it is not giving much profits to vendors as compared to traditional BI Software to earn from QlikView is only way do rapid sales. Show ROI to customer in short time, Get repeat order implement fast and make it customers success and set example for next prospect.
    If you look at ETL functionality QlikView’s edit script is sufficient enough in my view.
    Sorry to say but it is not an advertisement I am not employee of QlikTech. I am a sales guy who sales QlikView also apart from Navision and Actionbase kind of tool.
    Regards
    Sudhir Kumar Singh

    ReplyDelete
  2. This seems like an advert rather than a comparison.

    Do you even know what SAS is? and What DataWarehousing is?

    At least tell me all the normal forms and why they are required.

    ReplyDelete
  3. This comment has been removed by the author.

    ReplyDelete
  4. One of my reader have posted his comments on Linkedin.com at business intelligence community..
    Bellow is the comment
    ----------------------------------------------
    No warehouse? No ETL? No cubes? ....just sounds funny....
    -----------------------------------------

    I'd like to know where the 38% success rate for OLAP implementations comes from that Sudhir volunteers up on the BO comparison. (although I could easily believe it.)

    Thanks Ronald for taking on this conversation against what is of course another dubious advertisement. Great phrase - "symbol for declining rigor". :)

    Does anybody know of any legit comparison or whitepapers on different BI products? I'd love to see something that looks at BO, Merced and also warehouse implementations for such like Datallegro. (All used at Dell)
    ------------------------------------------------
    Yes Mitch no warehouse, no third party ETL, no cubes.. Its not a fun its next generation BI, its revolution in Technology.. I suggest you to download QlikVIew spend time with tutorial or ask any near by vendor for SIB ( Seeing is Beliving) see some exaplme on your own data get feel of QlikView then do you fun...

    Regards
    Sudhir

    ReplyDelete
  5. How to achieve data mining with qlikview ? feature #83

    ReplyDelete
  6. Dear Reader I saww some of interesting comments on this post at Linkedin.com I am puting tohse here for you reading. I found Chris Sault from QlikTech on this post also ...
    I am puting Link also
    http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers&discussionID=3919498&gid=49162&commentID=4100801&trk=view_disc

    Have Posted QlikView Vs SAS ,QlikView Vs Cognos, QlikView VS BO, at http://www.qlikviewvsolap.blogspot.com/
    Have Posted QlikView Vs SAS ,QlikView Vs Cognos, QlikView VS BO, at http://www.qlikviewvsolap.blogspot.com/

    Please post your comment on blog only so every reader can see your view.

    Posted 2 days ago | Delete discussion

    Sudhir Kumar Singh
    Manager - Business Development for QlikView- World's fastest growing Business Intelligence Software

    See all Sudhir’s discussions »

    Comments (5)
    ------------------------------------------------
    Bobby Davison
    Head of Business Intelligence at ACCBank
    =========================================
    Hardly an unbiased analysis of the functionality of Qlikview and other offerings!

    Inconsistencies from one comparison to the next and an apparent lack of real understanding of the product offerings

    Having used both SAS and BO for a number of years, Qlikview is simply not at the races - probably fine for most of the elementary stuff but not for complex or regulated environments. A dangerous tool in the wrong hands and worrying that users would only need a few hours training!!
    Posted 18 hours ago | Reply Privately
    ---------------------------------------------
    Ralph Winters
    Data Miner / Data Analyst / SAS Developer
    =========================================
    I agree with Bobby, the comparison is absurd. If Qlikview really wants to be a player, it needs to stop with the marketing hype and unsubstantiated claims (half of the TCO, twice the value, 1/4 development time etc.) and provide an actual blueprint on how the product can be realistically rolled out within an organization.
    Posted 17 hours ago | Reply Privately
    --------------------------------------------
    Sushant Kishore
    Regional Sales Head - North at Bluestar Infotech Ltd
    =================================================
    I do agree with Bobby & Ralph, QlikView is just a Glorified Reporting tool, nothing else. If you need to analyse huge set of data, qlikview will just break down. In view Qlikview is better than Excel reporting or crystal reports or Discoverer but much weaker than SAS, Cognos, BO, Microstartegy.
    Posted 16 hours ago | Reply Privately

    ReplyDelete
    Replies
    1. Thanks for the good comparison, even though it is now 2014.
      Five years from then, the people above should be eating their own words now.

      Delete
  7. ----------------------------------------------
    Mario Dolbec
    IM Manager at J&J
    ======================================
    Ok, the comparison are correct but most of the time not relevant.

    QV has its place and SAS has its place. You can do everything you need with SAS, not sure that applies to QV. There needs to be hand-holding before QV works with the data. SAS pretty much can start right away working with the data. A SAS user can do the data cleaning while you need IT folks to clean the data with QV. An yes, once the data is clean and nicely package in QV, anyone can use it very easily and very fast.

    So I would have preferred a comparison of the tool focusing on how they complement each other or where they overlap.

    By the way most folks that use SAS don't think of themselves as IT folks.

    my 2 cents
    Posted 16 hours ago | Reply Privately
    -------------------------------------
    Chris Sault

    Director of OEM Sales - East, QlikTech
    Good day Gentlemen,
    ==============================================
    I know we're stating the obvious here, but any tool is dangerous if you don't have a proper architecture outline and data model. We've been at the race for quite some time now and provide tremendous value for our customers (we're not for everyone, but I haven't witnessed a product or solution that meets every IT or Business Users needs yet).

    Sushant, I think a few of us are missing the boat on stating that QlikView is a "glorified reporting tool". I'm biased, which I wish some people would have stated on this string, but I would put our analytical engine against any tool for "Analytical Requirements" (bake offs are fun for us). To state glorified reporting tool in this string really undermines how our users achieve business answers every day!

    Ralph, We provide blueprints to our customers every day depending on what your definition of blueprint is?

    Good luck Gentlemen

    Best Regards,
    Chris
    Posted 6 hours ago | Reply Privately
    ------------------------------------------------

    ReplyDelete
  8. As this discussion started on linkedin - I posted my answer also on linked in. Since I can not seem to copy and paste into this post I will send links to my blog which is a response to this comparison. It resulted in three posts:

    1-http://prudenza.typepad.com/dwh/2009/06/laugh-or-cryi-cried.html
    2-http://prudenza.typepad.com/dwh/2009/06/did-not-want-to-spend-time-on-it.html
    3-http://prudenza.typepad.com/dwh/2009/06/the-qlikview-chronicles-the-sage-continues.html

    ReplyDelete
  9. This comment has been removed by the author.

    ReplyDelete
  10. Dear Readers,
    I just logged in to my blog to put a new post.. Then I decided to review lot of comments at different platforms, Including lnkedin.com and some strings that Ronald has putted in above comment.
    I found that many of them have worked on traditional BI platefrms and very few of them have worked on QlikView (Like Ron.. He has left his comments on QlikView VS BO and on QlikView Vs SAS also.)

    I am not able to understand if my post is just another post and if my comparisons are just another comparison why these So called Data Warehouse experts are pointing all the guns towards me.. Why this all hue and cry..

    Guys to know about QlikView- World’s fastest Growing BI software ( Look at some big analyst ports) which is the only champion on Aberdeens BI Performance Management Axis (QlikTech got 94 Scores where Hyperion got 90 Microsoft BI got 88 others are at less than 88 Score) the only way is SIB-- Seeing is believing... Ask your vendor to help you to evaluate QlikView on your own data.

    All the best..
    Regards
    Sudhir

    ReplyDelete
  11. Dear Readers,
    I saw a recent artical on Worldwide QlikView Version 9.0 Launch Coverage Highlights.

    It is realy an interesting artical to read and to know about QLikTech as a BI vendor. Bellow is the link to artical
    http://www.mycustomer.com/topic/customer-intelligence/dont-start-what-data-you-need-what-questions-you-need-answering

    Regards
    Sudhir

    ReplyDelete
  12. Also see my recent post
    " The Reasons Why 69 % cube based BI project fails and how QlikView have Success Rate about 98 %" at

    http://qlikviewvsolap.blogspot.com/2009/08/reasons-why-69-cube-based-bi-project.html

    ReplyDelete
  13. Blogs are so informative where we get lots of information on any topic. Nice job keep it up!!
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    ReplyDelete
  14. Your blog is really helps for my search and i really like it.. Thanks a lot..:)

    ReplyDelete
  15. Sudhir, you have done a good job at comparing QlikView and SAS, and one can really appreciate the hard work gone in there.

    I would want to add the following:
    SAS is most used for statistical modeling - to derive a model (and its coefficients) using a data set. Once developed, this model can be visualized using standard dashboards, etc. The model generation feature isn't available in QV (as yet) and that is where the key difference lies.

    ReplyDelete
  16. so what can SAS do that QV cannot in relation to consumer lending?
    OR
    What can QV do that SAS cannot?

    Thanks :)

    ReplyDelete
  17. Blogs are so informative where we get lots of information on any topic.

    ReplyDelete
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