npd sales data

Report, specific display columns include: Opportunity ID, name, Sales stage, responsible person, success rate, amount, profit, margin, resource organization name (department). [3] for prompting the request for the parameter. 1. When the value of the department is Beijing sales department, the report display resource organization name is the entire Beijing Sales

Read "Data Mining Technology (third edition)"-Thoughts on marketing, sales and customer relationship management This book is not a purely data mining theory book, you can probably guess from the subtitle of this book. For a layman like me in the field of data mining, there is not much difficulty in reading this book.

text / Sail Soft legend Brother (ID: FR biaoge) theyearsChina Telecom began to conduct a comprehensiveDeepeningReform,in thebasic business areas,Launcha " Small contract and inverted Triangle Service support system", Purposeis to build a front-line demand-orientedof CommunicationNew model of enterprise operation. in this unitin the wave of reform,Frontlinebusiness people from " want me to do " become " I want to do ", the enthusiasm of the staff Getgreatly improved. Informatization is producti

Wen/Sail soft legend brother (Id:frbiaoge)In 2014, China Telecom began to carry out a comprehensive reform, in the basic Business field, launched the "Small contract and inverted Triangle Service support system", the purpose is to build a first-line demand-oriented communication enterprise operation New Model. In this wave of reform, frontline business staff from "Want Me to do" into "I want to do", the enthusiasm of the staff has been greatly improved. Informationization is the productivity, th

The sum of sales from the beginning of the new fiscal year to today is a common demand of many students. There are two ideas: 1. You can generate a field named ytdflag when loading data, that is, this field is 1 in the current fiscal year; otherwise, it is 0. Therefore, sum (sales * ytdflag) can be easily used in the report to obtain the desired KPI. The script f

Percent of food sales data correlation analysis clear;% initialization parameters Catering_sale = '. /data/catering_sale_all.xls '; % dining data, containing other attributes index = 1; % of sales data in the column is read in

-- Capture POS data in the Western RegionDelete from poslsbf Insert into poslsbfSelect *From [192.168.1.100]. [scmis]. DBO. possrlbf where sldat> '123'Order by 1 Insert into posxbbfSelect * From poslsbf where uid not in (select uid from posxbbf)Order by 1 Delete from poslsdt Insert into poslsdtSelect B. uid, B. ID, C. pluno, B. qty, B. AMT, B. disamt, B. mmno, B. ismmx, B. isback, B. isdelFrom [192.168.1.100]. [scmis]. DBO. possrlbf A, [192.168.1.100]

Select. pluno,. pluname,. SPEC,. qty, D. qty, E. qty,. dptno, substring (. dptno, 1, 3), F. dptname, substring (. dptno, 1, 4), G. dptname, substring (. dptno, 1, 5), H. dptnameFrom lhxs201402Left join lhspm B on A. pluno = B. pluidLeft join xbspm C on B. barcode = C. BCDLeft join (select pluno, sum (qty) qty from xbxs where RQ between '000000' and '000000' group by pluno) D on C. pluno = D. plunoLeft join (select pluno, sum (qty) qty from dbxs where RQ between '000000' and '000000' group by plu

4.432853e+07 751.000000 0.000000 1.646467e+09 50.000000 4.859086e+08 3.000000 0.000000 19.000000 5.000000 Max 73.0 1.530338e+09 4.597465e+07 77837.000000 4.000000 1.698204e+09 50.000000 1.771740e+09 6.000000 8.000000 23.000000 6.000000 df[‘userLevel‘].value_counts().reindex(range(7))0 31251 14502 40523 51384 26855 7756 175Name: userLevel,

Reference: skysky Report zup2No standard page heading line-size 255. * Include bdcrecx1.Parameters: DataSet like RLGRAP-FILENAME.Parameters: p_mode like CTU_PARAMS-DISMODE default 'E '.* Batchinputdata of single transactionData: bdcdata like bdcdata occurs 0 with header line.* Messages of call transactionData: messtab like bdcmsgcoll occurs 0 with header line.** ** Generated data section with specific formatting-do not change ***

Public Sub subtotaldata () AppSettings ' on Error GoTo errhandler Dim StartTime, usedtime as Variant StartTime = Vba. Timer ' Input code here Dim Wb as Workbook Dim Sht As Worksheet Dim Osht As Worksheet Dim Rng As Range Di M ARR as Variant const head_row as Long = 5 Const sheet_name As String = "Subtotal" Const start_column As String = "A "Const End_column As String =" Z "Const other_head_row as Long = 1 ' const other_sheet_name As String =" DATA