sample-power bi

3
Late vs Current $ 0.00M 11.44M 4.97M Category Accessories Assembly Parts Services Backlog Queue 100% 8.6% BE FE S 7.60M 3.19M 0.65M Late vs. Current Items Current Late Sales Office 0.0M 0.5M 1.0M 1.5M 2.0M 001 002 003 004 009 010 014 019 024 025 026 027 029 033 041 042 049 071 077 094 109 122 371 418 End Use Country Argentina Korea, Republic of Spain United States Romania Queue Items BE FE S Project Manager Portfolios 0.0M 0.5M 1.0M 1.5M 2.0M E.F. E.H. J.B. D.B. V.H. S.P. Unclaimed 1.94M 1.86M 1.74M 1.39M 1.06M 0.33M 0.03M Weekly Dashboard Provides essential quick view of Key Indicators

Upload: jamall-brimage-jr

Post on 08-Apr-2017

126 views

Category:

Documents


2 download

TRANSCRIPT

Page 1: SAMPLE-Power BI

Late vs Current $

0.00M 11.44M4.97M

Category

Accessories

Assembly

Parts

Services

Backlog Queue100%

8.6%

BE

FE

S

7.60M

3.19M

0.65M

Late vs. Current Items

Current

Late

Sales Office

0.0M

0.5M

1.0M

1.5M

2.0M

001 002 003 004 009 010 014 019 024 025 026 027 029 033 041 042 049 071 077 094 109 122 371 418

End Use Country

Argentina

Korea, Republic of

Spain

United States

Romania

Queue Items

BE

FE

S

Project Manager Portfolios

0.0M

0.5M

1.0M

1.5M

2.0M

E.F. E.H.J.B

.D.B.

V.H.S.P.

Unclaimed

1.94M 1.86M1.74M

1.39M

1.06M

0.33M

0.03M

Weekly Dashboard

Provides essential quick view of Key Indicators

Page 2: SAMPLE-Power BI

Late Sales Distribution

© 2016 HERE © 2016 Microsoft Corporation

2014 Late Backlog

2.39M

0.00M 9.56M4.81M

Key Metric: Late Orders

2015 to 2016 our position with customers stayed even. Our overall growth of 16% was offset minorly by an increase of 2% in total late backlog. In support of changing the approach to successfully processing orders, there has been a major scrub of orders dated for delivery with the same date as entry. This has improved the future stance as less orders are severely tardy.

Our current customer distribution is flat with a consistent stronghold on domestic business. Our delivery time to our loyal customers has seen an improvement from previous periods. Domestic orders have a late % 7 points below the overall average of 43%. The challenge identified with our international customer has been that initial order entry process is not well defined and system differences add extra processing time not quoted.

Targeted solutions identified have been to produce training to the LBP base for offices that have the greatest amount of challenges as well as refhresher courses for the offices that contribute large business value. This approach is expected to improve metrics for hardware, software, and service.

Late Backlog

2.86M

0.00M 11.44M4.97M

Sales Distribution

© 2016 HERE © 2016 Microsoft Corporation

Page 3: SAMPLE-Power BI

Sales Office

0

20

40

60

001 002 003 004 009 010 014 019 024 025 026 027 029 033 041 042 049 071 077 094 109 122 371 418

Item Quantity Values

Sales Office

0.0M

0.5M

1.0M

1.5M

2.0M

001 002 003 004 009 010 014 019 024 025 026 027 029 033 041 042 049 071 077 094 109 122 371 418

Project Manager PortfoliosCount of Rep Order Number Count of Rep Order Number

0

50

100

D.B.E.F. E.H.

J.B.

S.P.

Unclaimed

V.H.

1223

15

3121

4

47

32

48

66

82

42

13

74

Project Manager Portfolios

0M

1M

2M

E.F. E.H.J.B

.D.B.

V.H.S.P.

Unclaimed

1.94M 1.86M1.74M 1.39M

1.06M

0.33M

0.03M

Backlog Queue100%

52.3%

S

BE

FE

149

130

78

Backlog Queue100%

8.6%

BE

FE

S

7.60M

3.19M

0.65M

Financial Values