O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.
Time for bring your own analytics
SHEETAL SHARMA
Intern at IBM innovation Centre
Watson Analytics
What is Watson Analytics?
Why Watson Analytics?
Features of Watson Analytics
What is Watson Analytics
IBM Watson Analytics sets powerful
analytics capabilities free so practically
anyone can use them...
Why Watson Analytics
Analysts say only a small fraction of
business professionals use analytics tools as
part of their dec...
Why Watson Analytics
“The purpose of Watson Analytics is to reinvent that
whole analytical experience and to help a
busine...
Why Watson Analytics
Watson Analytics also removes a lot of the barriers for
business professionals around usability, gett...
Key Innovation Features
These are the four WA key innovations that enable
business users to unlock the value of analytics ...
Self-Service
As a business user, you can be completely
self-enabled to conceive a need, to get the
data, to analyze it, an...
Natural Language Dialogue
Watson Analytics speaks the language of
business and people by enabling someone
to simply type i...
Single Business Analytics
Experience
Unlike today’s separate analytics tools
designed for different kinds of analysis and
...
Stories
The stories are like templates to start you off
on your analytics process. It could be things
like campaign manage...
Business Case
 There are three TEXTILE companies.
1 Being Human
 Other two are
2 Printo
3 Style
There are 15 clients of ...
Contains of data table
Industry
Client Type
Permanent
New Clients
Clients
Dens Suits Permanent Clients
Eastern Comp
Fashio...
Front Page of Watson Analytics
Sign up for the new user
Sign in Page
Load the Data or Connect to Source
Drop the file or tap to browse
Click on your data set, three options Exploration
, Prediction, View
Data , Data set & Data Quality
 When you load data into IBM® Watson Analytics, it becomes
available for analysis as a dat...
Some Starting points for Exploration
Add a new tap
Chart
Clients
Filters
Visualization Type
Breakdown of-----
Total Supply by 3 Companies
Present by
3 different
colors
Pin the
exploration
by click on
the symbol
Other options
Add new
column
Change
the data
type
Change the data type
Select Stock Adjustment Expenses
Type is number
Change by Time Interval
Add Filter
Choose any
Field
Calculation , Data group & Hierarchy
Calculations
Name
1st field 2nd
field
Add more
operators
Mathematical
Functions
Changes perform by add num & text
Silk increment by 56
Create Group
Group
name
Select
Column
Choose fields which want to include in
group
Selected clients
6 Clients
select in
permanent
group
Hierarchy-shows root & node relationship
Here Client is root &supply is leaf node
Profit by per client
Pin the
exploration
Area Chart-visualization option
Column insert
Insert a
column
Prediction
Name
properties
Workbook property
Up to 5 targets add
Field Properties
Versions
Data Quality
Click here
highly
predictive
strength
Overall net sales shows in chart
Values shows in Detail
Statistical Detail
Top Field Associations
My Pins
Change or add the target
View all-show all the influences
View-Create a Dashboard
Create a dashboard
Name of
data set
Dashboard
types
Write the query
Profit by per client
Insert in dashboard
Supply by industries
Compare b/w incomes of companies
Dashboard Properties
Create the Slide Show(BETA)
In pins we
store the
different
Fields ,so
drag any
to plan
board
Drag
Full Screen mode
Full
Screen
mode
option
Conclusion
 Watson Analytics is the software which is
provide many features with easy use.
 Here in textile business by ...
References
 vmanoria.blogspot.com/
 watson.analytics.ibmcloud.com
Watson analytics
Watson analytics
Watson analytics
Watson analytics
Watson analytics
Próximos SlideShares
Carregando em…5
×

Watson analytics

5.455 visualizações

Publicada em

IBM Watson Analytics sets powerful analytics capabilities free so practically anyone can use them. Automated data preparation, predictive analytics, reporting, dashboards, visualization and collaboration capabilities, enable you to take control of your own analysis. You can then take the appropriate action to address a problem or seize an opportunity, all without asking IT or a data expert for help.

Publicada em: Dados e análise

Watson analytics

  1. 1. Time for bring your own analytics SHEETAL SHARMA Intern at IBM innovation Centre
  2. 2. Watson Analytics What is Watson Analytics? Why Watson Analytics? Features of Watson Analytics
  3. 3. What is Watson Analytics IBM Watson Analytics sets powerful analytics capabilities free so practically anyone can use them. Automated data preparation, predictive analytics, reporting, dashboards, visualization and collaboration capabilities, enable you to take control of your own analysis. You can then take the appropriate action to address a problem or seize an opportunity, all without asking IT or a data expert for help.
  4. 4. Why Watson Analytics Analysts say only a small fraction of business professionals use analytics tools as part of their decision making today primarily because the tools are - (i) too complex, (ii) hard to access, and (iii) require the skill set of a data scientist. Reason is clear because these analytical tools are not developed keeping business users in mind but technical people to develop customized solutions for end users.
  5. 5. Why Watson Analytics “The purpose of Watson Analytics is to reinvent that whole analytical experience and to help a businessperson, not a specialist, but to help a businessperson inform their decisions with better information and better insight.
  6. 6. Why Watson Analytics Watson Analytics also removes a lot of the barriers for business professionals around usability, getting and cleansing data, learning different analytical techniques and the cost. WA uses natural language to make interaction with powerful, predictive analytics easier with the ability to understand key questions, such as: What are the key drivers of my product sales? Which benefits drive employee retention the most? Which deals are most likely to close?
  7. 7. Key Innovation Features These are the four WA key innovations that enable business users to unlock the value of analytics at the same time reduce the skills required to engage in advanced analytic – 1 Self-service 2 Natural Language Dialogue 3 Single Business Analytics Experience 4 Stories
  8. 8. Self-Service As a business user, you can be completely self-enabled to conceive a need, to get the data, to analyze it, and to communicate the results all by yourself. Watson Analytics features the use of predictive analytics to surface key relevant facts and uncover unforeseen patterns and relationships. This process sparks new questions and better insight, directing users to parts of their business that matter most.
  9. 9. Natural Language Dialogue Watson Analytics speaks the language of business and people by enabling someone to simply type in what they would like to see. WA produces results that explain why things happened and what's likely to happen, all in familiar business terms. And as business professionals interact with the results, they can fine-tune questions to get to the heart of the matter.
  10. 10. Single Business Analytics Experience Unlike today’s separate analytics tools designed for different kinds of analysis and data tasks, Watson Analytics is a seamless, unified experience that brings together a set of self-service enterprise data and analytics capabilities on the cloud. Business professionals identify their problem, and Watson Analytics can help them source the data, cleanse and refine it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others.
  11. 11. Stories The stories are like templates to start you off on your analytics process. It could be things like campaign management for a marketing person; win-loss analysis for sales; employer retention for HR. These are pre- created examples that you can use just to learn what you might do, or use as a template for your own analysis if your business problem is similar.
  12. 12. Business Case  There are three TEXTILE companies. 1 Being Human  Other two are 2 Printo 3 Style There are 15 clients of each company. This clients are same for every company.  By WATSON ANALYTICS we can compare this 3 companies in respect to all fields of the data set.
  13. 13. Contains of data table Industry Client Type Permanent New Clients Clients Dens Suits Permanent Clients Eastern Comp Fashion Notes Best Go Aviator Ride SamSun Rio Capssy Kids Style Stylo Express Mastro My Salfy AntaZone Jumbo Kids Joys Fabrics Cotton Wool Silk Jute Synthetic Total Expense Total Supply(in lacs) Power & Fuel Cost(in lacs) Employee Cost(in lacs) Selling and Admin Expenses(in lacs) Other Manufacturing Expenses(in lacs) Total income Net Sales Other Income Stock Adjustments Profit By Per Client New Clients
  14. 14. Front Page of Watson Analytics
  15. 15. Sign up for the new user
  16. 16. Sign in Page
  17. 17. Load the Data or Connect to Source
  18. 18. Drop the file or tap to browse
  19. 19. Click on your data set, three options Exploration , Prediction, View
  20. 20. Data , Data set & Data Quality  When you load data into IBM® Watson Analytics, it becomes available for analysis as a data set.  Watson Analytics assesses your data set for interestingness and quality. It then determines what you might want to analyze.  A data set is a collection of data from external sources that is in the form of a table of rows and columns. 1. Adding a new data set You can add data that is in a .csv or Microsoft Excel file. If a Microsoft Excel file contains several worksheets, the first worksheet is added as a data set. 2. Cleaning your data to improve its quality IBM Watson Analytics can provide better predictions and explorations if the quality of your data is high. If the quality of your data is low, the accuracy of the analyses in your explorations and predictions is less reliable. You can improve the quality of your data. 3. Optimizing the quality and usage of your data When a data set is loaded, IBM Watson Analytics reads the data and assesses it for data quality. If the data quality score is low, you can improve its quality and usage so that your predictions and explorations are more accurate.
  21. 21. Some Starting points for Exploration
  22. 22. Add a new tap
  23. 23. Chart Clients Filters
  24. 24. Visualization Type
  25. 25. Breakdown of-----
  26. 26. Total Supply by 3 Companies Present by 3 different colors Pin the exploration by click on the symbol
  27. 27. Other options Add new column Change the data type
  28. 28. Change the data type
  29. 29. Select Stock Adjustment Expenses
  30. 30. Type is number
  31. 31. Change by Time Interval
  32. 32. Add Filter
  33. 33. Choose any Field
  34. 34. Calculation , Data group & Hierarchy
  35. 35. Calculations Name 1st field 2nd field Add more operators
  36. 36. Mathematical Functions
  37. 37. Changes perform by add num & text Silk increment by 56
  38. 38. Create Group Group name Select Column
  39. 39. Choose fields which want to include in group
  40. 40. Selected clients 6 Clients select in permanent group
  41. 41. Hierarchy-shows root & node relationship
  42. 42. Here Client is root &supply is leaf node
  43. 43. Profit by per client Pin the exploration
  44. 44. Area Chart-visualization option
  45. 45. Column insert Insert a column
  46. 46. Prediction
  47. 47. Name
  48. 48. properties
  49. 49. Workbook property
  50. 50. Up to 5 targets add
  51. 51. Field Properties
  52. 52. Versions
  53. 53. Data Quality
  54. 54. Click here highly predictive strength
  55. 55. Overall net sales shows in chart
  56. 56. Values shows in Detail
  57. 57. Statistical Detail
  58. 58. Top Field Associations
  59. 59. My Pins
  60. 60. Change or add the target
  61. 61. View all-show all the influences
  62. 62. View-Create a Dashboard
  63. 63. Create a dashboard Name of data set Dashboard types
  64. 64. Write the query
  65. 65. Profit by per client
  66. 66. Insert in dashboard
  67. 67. Supply by industries
  68. 68. Compare b/w incomes of companies
  69. 69. Dashboard Properties
  70. 70. Create the Slide Show(BETA) In pins we store the different Fields ,so drag any to plan board
  71. 71. Drag
  72. 72. Full Screen mode Full Screen mode option
  73. 73. Conclusion  Watson Analytics is the software which is provide many features with easy use.  Here in textile business by this analytics I easily see and understand all the queries.  It shows relations b/w fields and also shows the information which Is helpful for future planning of business and as well as profit.  Most wonderful that if ones you know about it then in future you no need of any specialist . you can do your work your self.
  74. 74. References  vmanoria.blogspot.com/  watson.analytics.ibmcloud.com

×