Introducing esCalc - The Innovative Desktop BI Tool

Introducing esCalc - The Innovative Desktop BI Tool

With esCalc, you can manage and analyze data with ease. This brand new desktop BI tool comes with advanced features that are unlike traditional spreadsheets. Experience the power of data processing and get accurate insights with remarkable precision - visit now!

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About Introducing esCalc - The Innovative Desktop BI Tool

PowerPoint presentation about 'Introducing esCalc - The Innovative Desktop BI Tool'. This presentation describes the topic on With esCalc, you can manage and analyze data with ease. This brand new desktop BI tool comes with advanced features that are unlike traditional spreadsheets. Experience the power of data processing and get accurate insights with remarkable precision - visit now!. The key topics included in this slideshow are esCalc, desktop BI tool, spreadsheet software, data processing, data analytics,. Download this presentation absolutely free.

Presentation Transcript

1. esCalc Introduction A brand-new desktop BI tool

2. esCalc is a spreadsheet software

3. Unlike traditional spreadsheets which emphasized on peripheral functions, esCalc does not , i.e: photography, social networking and sharing esCalc leads to revolution in computing capability. esCalc performs best in the complex computation, which is exactly the weaknesses of traditional spreadsheets.

4. For example Show year-on-year basis and link relative ratio sales amount of numerous salespersons and products Join the monthly salary, attendance, performance information table Find out the products whose price keeping rising for seven consecutive weeks Find out the months whose sales amount is higher than the average sales amount of current year since 1999.

5. Where does the computing capability come from? Homocell Model Homocell Model Formula intelligently copied Associated computations of tables Free step by step computation Complete set-lization

6. 5250 5633 3650 8450 2050 6450 4300 6150 4700 2600 The traditional spreadsheet cells are isolated from each other, lacking of business relationship. In esCalc, cells with the same business position (homocell) are intrinsically linked. esCalc can solve complex computational goals easily relying on the homocell model. 5250 5633 3650

7. Formula intelligently copy Formulas in esCalc will automatically be copied to homocells, this feature can free users from heavy manual operations. Case: compute the monthly sales amount proportion of each sales

8. Original data: the sales amount details for each salesman last year First, group by month

9. Then group by salesman

10. Enter the formula in D3 and get the sales value of Baker

11. Click on group level 2, shrink to Summary band we can see the formula has been copied to the homocells such as D35 and D67,etc.

12. Enter formula in D2, compute the total sales of January We can see that the formulas are also be automatically copied to the homocells D325, D616

13. Last, enter the formula to calculate the ratio: D3/D2 Similarly , t he formula has been copied to the homocells. esCalc finished the calculation without any difficulty. It is more difficult to do the same operation in traditional spreadsheets. For example compared with Excel as below:

14. The same raw data offered Excel does not support automatic sort before grouping, so first sort by month and salesman.

15. Then group by month Similarly, group by the salesman

16. Click on the group level 3, shrink to the summary row. Then calculate the proportion in E4, enter the formula: =D4 / $ D $ 3.

17. Copy the formula in E4, and then paste to E36 to E294 one by one

18. Note: dont use drag for bulk copy, otherwise the formula will be copied to the detail data. Its wrong to do it like this.

19. Obviously, its more troublesome while the data amount gets bigger. This is nothing compared to the next difficulty.

20. Continue to copy the formula to E327 D327/$D$3 t his is wrong D327 $D$3 It should be D327/$D$326 D327 $D$326

21. Traditional spreadsheets can just mechanically copy the formula lacking of intelligent adjustment based on the business association of the cells. The homocell model enables formulas not only to automatically copy, but also to automatically adjust according to the business relationship.

22. The same month E3= D3/ D2 E35= D35/D2 Different month E3= D3/ D2 E326=D326/D325 Check the esCalc formula: Will not change what shouldnt be changed Will change what should be changed intelligently This intelligent adjustment is what the traditional spreadsheet doesnt have.

23. The traditional spreadsheet doesnt support smart formula adjustment and can only re-enter the formula and then manually copy to other cells. And each set of data must repeat the entire process. Its unbearable facing a large amount of data.

24. There will be even greater difficulties while changing a computation task. For example, whats the monthly sales growth of each salesman? Group by the salesperson and month then summary.

25. The subtraction of adjacent months is the sales growth of last month. For example, Baker increment in February should be D35-D3 D35 D3 -

26. How to calculate the increment in March? Lets try to copy the formula to E64. D64-D32 This is obviously wrong The traditional spreadsheets, due to the lack of homocell model, can just copy the formula by increment mechanically, which is not in line with the business logic.

27. Manually enter each formula? Absolutely unbearable! While in esCalc, one can still group by the salesman and the month first and then summary.

28. Enter formula D35-D3 in E35 Check the formula of March D64-D35 , t his is in line with the business logic!

29. For continuous data, the earlier formula is perfect. Replace the salesman by Year.

30. Check the formula in E381, the increment in January 2012 should be D381-D348. The formula is correct.

31. Change back to the non-continuous data, the same formula is wrong. D381-D348 is not in line with the business logic. The subtraction between different salesmen is meaningless. The computation shall be limited to the same salesman.

32. Lets add a data range for the formula in the E35: D35 [C2]-D3 [C2]. Here [C2] indicates that the data range is limited to salesman Baker.

33. Check E381, the increment of January: = 65040-0 = 65040 Whether the data is continuous or not, esCalc can intelligently replicate the correct formula. While traditional spreadsheet can not!

34. Free Step by step Computation Step by step computation breaks the complex computation objects into simple steps. However, traditional spreadsheets lack of freedom during the stepwise computation due to timeworn models. For example : who are monthly top 5 salesman? We can take 4 steps: group, summary, sort and filter. The first 2 steps are the same with previous case.

35. Then, we need to sort by sales value. The traditional spreadsheets have to sort one month after another. This is the sorting result of January.

36. Repeat the operation 12 times to sort each months Filter out the top 5 of each month.

37. Use the top N filter function? No way! It cannot distinguish detail data and summary data. Method 2 is to delete the data after fifth manually. Obviously it cannot deal with large amount of data. E.g. the 10 years data of AXA Insurance company which has tens of thousands of salesmen. Advanced users can use the third method.

38. First select visible cells to copy the summary data to a new sheet. Then input the formula in D3 =IF( NOT(ISBLANK(B3)),0,E2+1) Next, drag to copy this formula into other cells.

39. So we created the Serial number within group manually. Then set filter mode to filter. We finally finished the computing after many efforts.

40. Why cannot sort all the groups directly? Why cannot filter by serial numbers directly? Traditional spreadsheets cannot compute data freely step by step. They often need a lot of skill and manual manipulation to complete computation object. esCalc enables free stepwise computation.

41. First sort in D3 based on the same summary data. Just one step, all the groups are sorted. Then filter by serial numbers within group directly. Just one step to finish filtering.

42. In esCalc, you can manipulate the current data freely and do the next computation at will. Another example, count the orders of salesmen based on current result just need to enter the formula {D4}.count() into E3. It is really annoying to recalculate from the original data in traditional spreadsheets.

43. Whatever the next computation is, filter, add columns, sort, summary and group, regroup, esCalc is more convenient and free than traditional spreadsheets.

44. Complete set-lization computation esCalc directly supports set data types, and can easily solve the problems related to set. For example, if you want to find Best Employee of the Year, that means you need to find whose sales are in the top 5 every month based on the previous case:

45. First, work out the set of salesmen in each month. Then calculate the intersection of these sets. Easily done !

46. Traditional spreadsheets are more complicated. Method 1: group the data by salesman, figure out the appearance numbers of the salesmen, copy them into a new sheet and filter the sales whose appearance number is 12. This method is not easy to understand, but also makes great damage to data and the reusability is not strong as well. Method 2: Simulation set operations

47. Input this horrible formula into F4: =IF(AND(COUNTIF($C$15:$C$19,C4),COUNTIF($C$26:$C$30,C4),COUNTIF($C$37:$C$41,C4),COUNTIF( $C$48:$C$52,C4),COUNTIF($C$59:$C$63,C4),COUNTIF($C$70:$C$74,C4),COUNTIF($C$81:$C$85,C4), COUNTIF($C$92:$C$96,C4),COUNTIF($C$103:$C$107,C4),COUNTIF($C$114:$C$118,C4),COUNTIF($C$ 125:$C$129,C4)),C4,"") This formula matches C4 with other sales in other months, and return C4 if they match.

48. Drag to copy the formula to the cells fromF5 to F8. With complex formulas, we get the result finally.

49. Traditional spreadsheets have high techniques requirements for users on set operation and users have to develop abstract algorithm. This is hard for common users. esCalc supports sets completely, and its easy to do union, intersection and subtraction operation and thus solve complex problems.

50. Associated computations of tables Here are three tables recording the basic salary, absences, and performance of this week separately. Please compute the actual weekly salary. Homocell model makes the multiple tables computation very easy.

51. Obviously, if we could join the three tables together into one on the basis of EID columns.

52. Such as Then the formula of Rebecca Moores weekly salary is easily worked out as C2*(1+E2- D2/40)+F2

53. But how to join? In the traditional spreadsheets, the cells are isolated from each other, so we have to match the whole sheet with complex formulas Here is one of the complex formulas. D2=IFERROR(INDIRECT("'Absence'!"&ADDRESS(MATCH(A2,'Absence'!$A:$A,0),2)),0) E2=IFERROR(INDIRECT("'Performance'!"&ADDRESS(MATCH(A2,'Performance'!$A:$A,0 ),2)),0) F2=IFERROR(INDIRECT("'Performance'!"&ADDRESS(MATCH(A2,'Performance'!$A:$A,0 ),3)),0) Its hard for common users to master such complex algorithms.

54. Set the EID column of absence and performance as master cell as well. But its easy for esCalc to join tables based on homocell model. First, please set the EID of standard as master cell.

55. Thus the homocell relationship is established between the three tables.

56. Copy and Join Press Ctrl+C

57. See, the Performance is joined into Standard table. Similarly, join Absence into Standard table.

58. finished! With the unique homocell model, esCalc can achieve join and union, including multi-level operation, without any complex formula.

59. Homocell Model Homocell Model Formula intelligently copied Associated computations of tables Free step by step computation Complete set-lization computation esCalc can easily solve complex computation objects and leads to the computing capability for the spreadsheets.

60. More information please visit Thank you