OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...
A glimpse of business intelligence
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
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
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
12.
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.
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
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).
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.
39.
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
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
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
68.
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
Notes de l'éditeur
Community of Programmers and any enthusiast of the SDLC
To make informed choices, businesses need to base their decisions on evidence. For example, customers and businesses are always producing evidence of purchasing patterns and market trends. This allows them to gain competitive advantage by predicting customer behaviors.
Another example is on operations. We are able to monitor the nature of the load decide whether to increase capacity by adding more headcounts (overtime).
Maraming definition ng business intelligence and business analytics. Kapag nag google kayo ma re-realize nyo na halos wala silang pinag kaiba. As a matter of fact, I believe that the difference is just a marketing gimmick, buzz words kumbaga. But a when I consulted a data engineer sa DXC (Formerly HP Enterprises), sabi ng manager niya is that the difference between Business intelligence and Business analytics is that Business analytics has predictables, while business intelligence is purely descriptive.
Kapag kinonsulta nyo naman si google sasbihin niya na ang difference is that business intelligence is the end goal while business analytics is the tools and techniques that you will use to reach that end goal.
Bottom line, wag na tayong masyadong makiuso and let’s just stick with business intelligence para safe. I mean, can you predict the future?
Reference: https://www.betterbuys.com/bi/business-intelligence-vs-business-analytics/
Maraming definition ng business intelligence and business analytics. Kapag nag google kayo ma re-realize nyo na halos wala silang pinag kaiba. As a matter of fact, I believe that the difference is just a marketing gimmick, buzz words kumbaga. But a when I consulted a data engineer sa DXC (Formerly HP Enterprises), sabi ng manager niya is that the difference between Business intelligence and Business analytics is that Business analytics has predictables, while business intelligence is purely descriptive.
Kapag kinonsulta nyo naman si google sasbihin niya na ang difference is that business intelligence is the end goal while business analytics is the tools and techniques that you will use to reach that end goal.
Bottom line, wag na tayong masyadong makiuso and let’s just stick with business intelligence para safe. I mean, can you predict the future?
ETL stands for Extract, Transform, and Load.
Extract is the process of fetching data from different data sources,
Transform is the step where we apply transformation to data, such as aggregation, join with other datasets, applying rules, split or merge result set, and so on.
In the Load step, we have data that is ready for the destination table structure, and we load that into the destination fact or dimension table in the data warehouse.
More terms:
Data Warehouse -> Central Repository for all significant parts of the data that an enterprise’s various business systems collect. (ref: http://searchsqlserver.techtarget.com/definition/data-warehouse )
Data Mart -> a Subset of the data warehouse, usually oriented to a specific business line or team or geography.
Data Cube or OLAP Cube -> a data structure that allows fast analysis of data.
Notes:
-Include interfaces like Internet of things, ERP, CRM, CMS, Other custom programs and hardware.
TODO: Add progression from tabular data -> Old School report -> mam mian report -> Gelo edited report -> Qlikview
TODO: Add progression from tabular data -> Old School report -> mam mian report -> Gelo edited report -> Qlikview
TODO: Add progression from tabular data -> Old School report -> mam mian report -> Gelo edited report -> Qlikview
TODO: Add progression from tabular data -> Old School report -> mam mian report -> Gelo edited report -> Qlikview
TODO: Add progression from tabular data -> Old School report -> mam mian report -> Gelo edited report -> Qlikview
Add Picture in DNPP and Summary of Significant Gains
Add Picture in DNPP and Summary of Significant Gains
Add Picture in DNPP and Summary of Significant Gains
Add Summary of Significant gains
Discuss about the role of BI in decision making
Add Summary of Significant gains
Discuss about the role of BI in decision making
Add screen shot of Shipment Irregularities Dashboard and RMA
Add screen shot of Shipment Irregularities Dashboard and RMA
General Benefits in like Predictability of Operations, Insightful Decision making, Problem Solving etc.
Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. Gartner delivers the technology-related insight necessary for its clients to make the right decisions, every day.
Y – Axis -> Vision; Understanding of the Market
X – axis -> Ability to Execute; deliver the needs of the market
Add SSMS and Visual Studio scope below
Corporate BI
Self Service Bi
PowerBI
With the benefits that we’ve witnessed today, we cannot deny that data will guide you to innovation if you are willing to follow it. But how can you do that if you don’t know the tools and techniques that you need? “Global revenue in the business intelligence (BI) and analytics software market is forecast to reach $18.3 billion in 2017, an increase of 7.3 percent from 2016, according to the latest forecast from Gartner, Inc. By the end of 2020, the market is forecast to grow to $22.8 billion.” and we certainly want a piece of that. With the advent of K-12, I would take the audacity to suggest to our esteemed professor that perhaps the time has come for the academe to rethink its assumptions, revamp the curriculum, and include Business Intelligence concepts in its redesign.
With the benefits that we’ve witnessed today, we cannot deny that data will guide you to innovation if you are willing to follow it. But how can you do that if you don’t know the tools and techniques that you need? “Global revenue in the business intelligence (BI) and analytics software market is forecast to reach $18.3 billion in 2017, an increase of 7.3 percent from 2016, according to the latest forecast from Gartner, Inc. By the end of 2020, the market is forecast to grow to $22.8 billion.” and we certainly want a piece of that. With the advent of K-12, I would take the audacity to suggest to our esteemed professor that perhaps the time has come for the academe to rethink its assumptions, revamp the curriculum, and include Business Intelligence concepts in its redesign.