This document provides an overview of business intelligence concepts and technologies. It summarizes the experience of Argelo Royce Bautista working in business intelligence at Analog Devices, where tools like Power BI and Excel helped improve warehouse operations by reducing cycle times, increasing capacity, and enabling more predictive decision making. The document also briefly reviews common BI tools and technologies from Microsoft and how to obtain them.

1. About Argelo Royce Bautista
▪ B.S. Computer Engineering Graduate
▪ 5 years of industry experience
▪ Programmer Analyst / Systems Engineer
▪ Web Development (jQuery, Angular, etc) [2
years]
▪ Mainly Deals w/ Business Intelligence
(Microsoft Excel and PowerBI) [3 years]
▪ Active member of technical communities:
▪ Philippine SQL Server Users Group
▪ Power BI Users Group
▪ Programmers, Developers

2. https://www.facebook.com/groups/ProgramersDevelopers/

3. https://www.facebook.com/groups/1715285942054850
www.pbiusergroup.com/Philippines

5. https://www.facebook.com/groups/phissug/

7. A Glimpse of
Business
Intelligence
Argelo Royce Bautista

8. Agenda
▪ Business intelligence concepts
▪ Impact of Business Intelligence in Analog Devices Finished Goods Warehouse
Operations
▪ Choosing your BI Tools and Technologies
▪ A quick tour on Business Intelligence Technologies
▪ Q & A
▪ Final Notes

9. Let’s get down to
Business… Intelligence

10. Business Intelligence (BI)

11. Business Intelligence (BI)
▪ “Business intelligence (BI) is an
umbrella term that includes the
applications, infrastructure and tools,
and best practices that enable
access to and analysis of
information to improve and optimize
decisions and performance.” Gartner
Inc.
▪ “Business intelligence, or BI, is an
umbrella term that refers to a variety
of software applications used to
analyze an organization’s raw data.
BI as a discipline is made up of
several related activities, including
data mining, online analytical
processing, querying and reporting. “
- CIO

13. BI vs Decision Support System
▪ DSS is also referred to as an origin
of BI and a part of the current
umbrella (fashionable) term 'BI'
(Gartner Group, 1990). In other
words, BI is a successor of DSS.
Both systems include analytical tools
where BI called business analytics
systems.

14. BI vs Big Data
▪ Big data is a term that describes the
large volume of data – both
structured and unstructured. It is so
large or complex that traditional data
processing applications are
inadequate. Big data can be
analyzed for insights that lead to
better decisions and strategic
business moves.

15. BI vs Business Analytics

16. BI vs Business Analytics

17. More BI Terms
▪ Dimensions -> a piece of data that
categorizes other data; a reference
information about a measurable
event.
▪ Facts -> the measurement that was
taken for a specific event. Example:
Quantity Sold, Sales Value, Cycle
Time, etc.
▪ Granularity -> The level of detail or
depth a report or a table is showing.

18. BI Workflow
Data Marts
Extract, Transform,
and Load (ETL)
Middleware
Server(s)
Data
Warehouse
Storage
Design and Visualization
Data Cubes and Tabular Models
E
T
L
Reporting
Server(s)
BI and Designer
Clients
Source
data

19. BI in Analog Devices
Finished Goods
Warehouse
How did BI made an impact in the warehouse operations.

20. Analog Devices Inc.
• Multinational Multi-Billion Dollar
Semiconductor Company.
• 5 regional headquarters around the
world.
• 660th in the Fortune company list,
having $3.4 Billion in revenue.

21. Analog Devices –
General Trias
• ADI’s Philippines Site
• It has testing, engineering, and
warehouse facilities

22. ADGT – Finished
Goods Warehouse
• Dubbed as Worldwide Distribution
Center for being the largest
warehouse in all of ADI sites
• Houses x% of the total ADI units
• Delivers x% of total ADI revenue in
unit sales

23. ADGT – WDC Projects and Impact
1800
2200
2700 2700
3000
3200 3200 3200
3500 3500
3000
3500 350085 85
72
25
21
23
20 19 18
15
9 8 8.46 9 10 10
8
0
10
20
30
40
50
60
70
80
90
0
500
1000
1500
2000
2500
3000
3500
4000
1Q10 1Q11 1Q12 2Q12 3Q12 4Q12 1Q13 2Q13 3Q13 4Q13 1Q14 2Q14 3Q14 4Q14 1Q15 2Q15 3Q15 4Q15 1Q16 2Q16 3Q16 4Q16
CYCLETIME
CAPACITY
Improvement Through WDC Initiated Projects
CAPACITY COMMIT CYCLE TIME (Print to Pack)
Implementati
on of WIP
Hourly
Output
Monitoring
Improvement:
22%
Bourne
Labeling
Project
Improvement:
22%
100% Flexing of
Kitters to Shippers
Improvement: 11% WDC Capacity
Expansion
Project
Improvement:
6% - 16%
CT Print to Pack
= from 20 Hrs to
9 Hrs
Print To Capacity
Improvement on
Cycle Time: 72%
(from 72 hours to
20 hours)
Docs-on-Demand
Cost Reduction -
$85k/yr
Improve Quality on
missing Documents

24. WIP Monitoring Tool – Looking at the past and
rethinking our actions
▪ WIP Hourly Output Monitoring – Raw Data

25. WIP Monitoring Tool – Looking at the past and
rethinking our actions
▪ WIP Hourly Output Monitoring v1

26. WIP Monitoring Tool – Looking at the past and
rethinking our actions
▪ WIP Hourly Output Monitoring v1

27. WIP Monitoring Tool – Looking at the past and
rethinking our actions
▪ WIP Hourly Output Monitoring v2

28. WIP Monitoring Tool – Looking at the past and
rethinking our actions
▪ WIP Hourly
Output
Monitoring
V3 (qlikview)

29. Print to Capacity – Knowing the Present and
revamping our tactics

30. Print to Capacity – Knowing the Present and
revamping our tactics

31. Print to Capacity – Knowing the Present and
revamping our tactics
▪ Significant Gains
▪ We know what will be the composition of the load before
we print, so we can either print to our capacity or choose
the composition of the load that will maximize the
capacity.
▪ $ 2.8 Million PTC Contribution to 4Q13 Revenue or
$36.4million/ quarter additional revenue at full capacity.
▪ 50% reduction in time to complete printing delivery
notes.

32. Capacity Expansion – Predicting the Future and
redesigning our strategy
The decision lead to a big investment in equipment

33. Capacity Expansion – Predicting the Future and
redesigning our strategy
▪ Significant Gains
▪ Consistently performing below 12 hours of print to pack cycle
time
▪ Increased to 3000 lines of capacity per week without adding
operators.
▪ Moved from 24-hour operation to 12-hour operation. Night shift
was removed.
▪ $ 27K cost saving on equivalent OT cost for 2015
▪ $ 16.5K cost saving for having no operation during Holidays
▪ $91.3M per quarter additional shipment that can be
accommodated in case of volume ramp (at full capacity).

34. Other Projects –Problem Solving:
Shipment Irregularities

35. Other Projects – Monitoring:
RMA Volume and Cycle Time

36. Predictability of
operations, insightful
decision making, and
problem solving.
Significant gains in Implementing Business Intelligence

37. So where can we start?
How do I choose my technologies?

38. Gartner’s Magic Quadrant
▪ Provides a graphical competitive
positioning of technology providers.
▪ Leaders – execute well against their
current vision and are well
positioned for tomorrow.
▪ Visionaries -> understands where
the market is going and have a
vision for changing market rules, but
do not yet execute well.
▪ Niche Players -> focus successfully
on a small segment.
▪ Challengers -> execute well today or
may dominate a large segment, but
do not demonstrate an
understanding of market direction.

40. Recent Gartner Magic Quadrants
Operational DBMS
Business Intelligence
and Data Analytics
Data Warehouse
And Database Storage

41. Microsoft’s standing at cloud technologies
Microsoft
Infrastructure as a service Virtualization Cloud Storage Platform as a Service

42. Corporate BI Workflow
Data Marts
Extract, Transform,
and Load (ETL)
Data
Warehouse
Storage
Design and
Visualization
Data Cubes and Tabular Models
E
T
L
Source
data
Enterprise
Applications
+
Custom .NET Apps

43. Self Service BI Workflow
+

44. Reports Project in VS2017

45. Reporting Services on SQL Server 2016
SSRS 2014 SSRS 2016

46. RDLC & Report Viewer

47. SSMS 2017

48. Connecting to SQL Server from Power Query

49. Connecting to SQL Server from Power Query

50. Power Query

51. Power Pivot

52. Excel Dashboard

53. Importing Excel Queries and Measures to Power BI

54. Power BI Report

55. Power BI Similarities with Excel’s Power Query

56. Power BI Similarities with Excel’s Power Pivot

57. Power BI’s Difference with Excel – Custom Visuals

58. Publishing to Power BI Service

59. Power BI Service / Power BI Online

60. Natural Language Processing – Q&A

61. Power BI Cortana Integration

62. Power BI Report Server

63. Obtaining Microsoft Technologies
▪ Visual Studio Community Edition – Free
▪ Same features as visual studio professional edition, can be used for commercial purposes as
long as you don’t exceed 250 employees or $1M Revenue.
▪ SQL Server 2016 SP1 – Free
▪ Express Edition – Limited Edition, can be used for commercial purposes.
▪ Developer Edition – full featured edition, can only be used for educational purposes.
▪ Power BI
▪ Desktop Version is free, and it is a full featured designer.
▪ Power BI Service is free for office 365 subscribers, with an option to upgrade to pro version.
▪ Microsoft Excel
▪ Part of office 365
▪ Power Query and Power Pivot
▪ Microsoft Imagine - Free

64. Q & A

66. Global revenue in the
business intelligence (BI)
and analytics software
market is forecast to reach
$18.3 billion in 2017… By the
end of 2020, the market is
forecast to grow to $22.8
billion.
Gartner, Inc. - February

67. Thank you for listening
LinkedIn, Facebook, etc: roycebautista@outlook.ph

69. References
▪ Business intelligence growth forecast:
http://www.gartner.com/newsroom/id/3612617
▪ Self Service BI Workflow: https://powerpivotpro.com/2014/09/what-is-power-bi