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Aligning Information Insights with the Speed of BusinessCognizant
Here is a guide to the technologies, processes and organizational alignment needed to help organizations ensure the viability of information used to facilitate insights in today's accelerated business climate.
Aligning Information Insights with the Speed of BusinessCognizant
Here is a guide to the technologies, processes and organizational alignment needed to help organizations ensure the viability of information used to facilitate insights in today's accelerated business climate.
Is Your Data Ready to Drive Your Company's Future?Edgewater
Before investing the time and money to implement a reporting and analytics solution to guide you out of the current economic crisis, make sure that your data is prepared to lead the way.
Join Edgewater Technology for a step-by-step approach to readying your data to support enterprise reporting and analytics applications.
Driving Value Through Data Analytics: The Path from Raw Data to Informational...Cognizant
As organizations gather and process colossal amounts of data, analytics is essential for operational and strategic excellence. We offer a guide to the phases of the data analytics journey, from descriptive to diagnostic to predictive to prescriptive, covering intentions, tools and people considerations.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve time-to-information for business users.
There is growing discussion in many organizations on monetizing data, not only as a revenue source, but as a balance sheet item. John will cover some of the new and more interesting methods being kicked around for measuring data as an asset.
Enhancing Decision Making - Management Information SystemFaHaD .H. NooR
Problem: Chain retailers need to determine what products will sell at what prices at different locations
Solutions: Business analytics software to analyze patterns in sales data, create pricing profiles and buyer profiles for different regions, locales, even times of day
Senior managers:
Make many unstructured decisions
E.g. Should we enter a new market?
Middle managers:
Make more structured decisions but these may include unstructured components
E.g. Why is order fulfillment report showing decline in Lahore?
Operational managers, rank and file employees
Make more structured decisions
E.g. Does customer meet criteria for credit?
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
Enhancing and Sustaining Business Agility through Effective Vendor ResiliencyCognizant
Extracting continuous value from third-party vendors means methodically assessing their ability to remain best-of-breed amid ongoing technological change and ever-elevating customer expectations. Following our three guiding principles -- and proven framework -- can help.
Structured Approach To Implementing Information And Records Management (Idrm)...Alan McSweeney
Provide an overview of a structured approach to analysis, design and specification of Information, Document and Records Management (IDRM) systems
Provide introduction to generic reference models for IDRM that can assist in solution definition
Structured IDRM methodology yields benefits in ensuring appropriate analysis, design and specification is performed ensuring requirements are captured and any solution complies with them:
Consistency
Speed
Drives Delivery
Ensures Acceptance
Increases Productivity
Increases User Confidence
Speed
Accuracy
Provides Audit Trail
Maximises Cost Savings
Risk Management and Reduction
Provides for Change Management
Provides for Formal Project Closure
Standards and reference models (OAIS) provide a mechanism for designing solutions and comparing products from vendors
Knowledge management (KM) has become an effective way of managing organization‟s intellectual capital or, in other words, organization‟s full experience, skills and knowledge that is relevant for more effective performance in future. The paper proposes a knowledge management to achieve a competitive control of the machining systems. Then an application of Knowledge Management in engineering has been attempted to explain. The model can be used by the manager for the choosing of competitive orders.
MIS, STRATEGIC ROLE OF INFORMATION SYSTEMS, MANAGEMENT INFORMATION SYSTEM, INFORMATION TECHNOLOGY, INFORMATION SYSTEMS, STRATEGIC ROLE OF INFORMATION SYSTEMS, INFORMATION SYSTEM STRATEGY, CHARACTERISTICS OF INFORMATION SYSTEM STRATEGY, CLASSIFICATION OF STRATEGIC ROLE OF INFORMATION SYSTEM, STRATEGIES TO GAIN COMPETITIVE ADVANTAGES,
Is Your Data Ready to Drive Your Company's Future?Edgewater
Before investing the time and money to implement a reporting and analytics solution to guide you out of the current economic crisis, make sure that your data is prepared to lead the way.
Join Edgewater Technology for a step-by-step approach to readying your data to support enterprise reporting and analytics applications.
Driving Value Through Data Analytics: The Path from Raw Data to Informational...Cognizant
As organizations gather and process colossal amounts of data, analytics is essential for operational and strategic excellence. We offer a guide to the phases of the data analytics journey, from descriptive to diagnostic to predictive to prescriptive, covering intentions, tools and people considerations.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
As the sheer amount of information available for Business Intelligence (BI) applications has grown, and the sophistication of BI capabilities has accelerated, organizations are striving to improve time-to-information for business users.
There is growing discussion in many organizations on monetizing data, not only as a revenue source, but as a balance sheet item. John will cover some of the new and more interesting methods being kicked around for measuring data as an asset.
Enhancing Decision Making - Management Information SystemFaHaD .H. NooR
Problem: Chain retailers need to determine what products will sell at what prices at different locations
Solutions: Business analytics software to analyze patterns in sales data, create pricing profiles and buyer profiles for different regions, locales, even times of day
Senior managers:
Make many unstructured decisions
E.g. Should we enter a new market?
Middle managers:
Make more structured decisions but these may include unstructured components
E.g. Why is order fulfillment report showing decline in Lahore?
Operational managers, rank and file employees
Make more structured decisions
E.g. Does customer meet criteria for credit?
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
Enhancing and Sustaining Business Agility through Effective Vendor ResiliencyCognizant
Extracting continuous value from third-party vendors means methodically assessing their ability to remain best-of-breed amid ongoing technological change and ever-elevating customer expectations. Following our three guiding principles -- and proven framework -- can help.
Structured Approach To Implementing Information And Records Management (Idrm)...Alan McSweeney
Provide an overview of a structured approach to analysis, design and specification of Information, Document and Records Management (IDRM) systems
Provide introduction to generic reference models for IDRM that can assist in solution definition
Structured IDRM methodology yields benefits in ensuring appropriate analysis, design and specification is performed ensuring requirements are captured and any solution complies with them:
Consistency
Speed
Drives Delivery
Ensures Acceptance
Increases Productivity
Increases User Confidence
Speed
Accuracy
Provides Audit Trail
Maximises Cost Savings
Risk Management and Reduction
Provides for Change Management
Provides for Formal Project Closure
Standards and reference models (OAIS) provide a mechanism for designing solutions and comparing products from vendors
Knowledge management (KM) has become an effective way of managing organization‟s intellectual capital or, in other words, organization‟s full experience, skills and knowledge that is relevant for more effective performance in future. The paper proposes a knowledge management to achieve a competitive control of the machining systems. Then an application of Knowledge Management in engineering has been attempted to explain. The model can be used by the manager for the choosing of competitive orders.
MIS, STRATEGIC ROLE OF INFORMATION SYSTEMS, MANAGEMENT INFORMATION SYSTEM, INFORMATION TECHNOLOGY, INFORMATION SYSTEMS, STRATEGIC ROLE OF INFORMATION SYSTEMS, INFORMATION SYSTEM STRATEGY, CHARACTERISTICS OF INFORMATION SYSTEM STRATEGY, CLASSIFICATION OF STRATEGIC ROLE OF INFORMATION SYSTEM, STRATEGIES TO GAIN COMPETITIVE ADVANTAGES,
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
Knowledge Management, Business Intelligence & Business Analytics - Managemen...FaHaD .H. NooR
Knowledge Management,
Business Intelligence &
Business Analytics
Knowledge management includes the processes necessary to generate, capture, codify, and transfer knowledge across the organisation to achieve competitive advantage.
Business intelligence (BI) is the term used to describe the set of technologies and processes that use data to understand and analyse business performance.
Business analytics is the term used to refer to the use of quantitative and predictive models and fact-based management to drive decisions. It can be considered a subset of BI.
1. Top of FormResource Project Systems Acquisition Plan Gradi.docxambersalomon88660
1.
Top of Form
Resource: Project Systems Acquisition Plan Grading Guide
Resources:
· Baltzan, P., and Phillips, A. (2015). Business Driven Information Systems (5th ed).
· Week 3 articles and videos
· It is recommended students search the Internet for a Systems Acquisition Plan template.
Scenario: You are an entrepreneur in the process of researching a business development idea. As you create a high-level Information Technology (IT) strategy for your new enterprise, it is important to consider the acquisition of IT resources. A Systems Acquisition Plan will guide the process of identifying enterprise technology needs and acquiring appropriate information systems in the context of your goal to incorporate business driven IT. The Systems Acquisition Plan is intended to describe a high-level process for acquiring and maintaining IT systems. The Systems Acquisition Plan is a working document, which is expected to change over time as new project details emerge.
Create a high-level Project Systems Acquisition Plan for your project in a minimum of 1,050 words that includes the following information:
· A description and justification of the specific systems design and development approach (SDLC, RAD, Spiral, outsourcing, etc.) the enterprise will employ
· A summary of the steps in the systems acquisition process including initiation, analysis, design, acquisition, and maintenance
· A high-level overview of who will participate in each step of the systems acquisition process
Cite a minimum of 3 peer-reviewed references from the University of Phoenix Library.
Format consistent with APA guidelines.
Submit your assignment.
Resources
· Center for Writing Excellence
· Reference and Citation Generator
· Grammar and Writing Guides
· Learning Team Toolkit
2
CHAPTER
Decisions and Processes: Value Driven Business
CHAPTER OUTLINE
SECTION 2.1
Decision Support Systems
SECTION 2.2
Business Processes
Making Organizational Business Decisions
Measuring Organizational Business Decisions
Using MIS to Make Business Decisions
Using AI to Make Business Decisions
Managing Business Processes
Using MIS to Improve Business Processes
What’s in IT for me?
Working faster and smarter has become a necessity for companies. A firm’s value chain is directly affected by how well it designs and coordinates its business processes. Business processes offer competitive advantages if they enable a firm to lower operating costs, differentiate, or compete in a niche market. They can also be huge burdens if they are outdated, which impedes operations, efficiency, and effectiveness. Thus, the ability of management information systems to improve business processes is a key advantage.
The goal of Chapter 2 is to provide an overview of specific MIS tools managers can use to support the strategies discussed in Chapter 1. After reading this chapter, you, the business student, should have detailed knowledge of the types of information systems that exist to support decision making and business .
An efficient data science team is crucial for deriving value from the humongous data a business collect. Learn how the data science team can help in this regard.
Mi0036 business intelligence & toolssmumbahelp
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
The Data-To-Business bridge model for business development organizationsMathieu Rioult
This is a methodology to extract, justify, apply and track actionable insights from a structured dataset and a cross-departments exchange. Please find its summarized mechanism below.
A simple “coordination & action” concept based on four pillars, their related key actions and two strong principles that feed your organization everyday: Growing Cells & “comestible” Fuel. Human Beings interacting and learning collaboratively & Structured data understandable and exploitable by them.
Thanks to both and the D2B bridge, your organization will be able to identify and implement actionable insights that will positively impact your overall business growth and organizational processes. Moreover, your organization will build by itself a learning machine that each individual will beneficiate from. Actions run by someone’s God Feeling appear now as obsolete. For sure, Alone, we go faster. But together, we go farer.
Report on strategic rules of Information System for changing the bases of com...Md. Khukan Miah
Achieving advantages requires broad IS management and user dialogue plus imagination. The process is complicated by the fact that many IS products are strategic though the potential benefits are very subjective and not easily verified. Often a strict ROI focus by senior management may turn attention toward narrow, well-defined targets as opposed to broader strategic opportunities that are harder to analyze.
This whitepaper from IBM shows how your organisation can implement a Big Data Analytics solution effectively and leverage insights that can transform your business.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
Similar to Mi0036 business intelligence tools (20)
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docx
Mi0036 business intelligence tools
1. Dear students get fully solved assignments
Send your semester & Specialization name to our mail id
-> help.mbaassignments@gmail.com
or
call us at -> 08263069601
Summer 2014
Master of Business Administration- MBA Semester 3
MI0036 –Business Intelligence Tools -4 Credits
(Book ID: B1219)
Assignment (60 marks)
Note:Answerall questions. Kindly note that answers for 10 marks questions should not exceed 400 words. Each
question is followed by evaluation scheme.
Q1. a. Emergency Medical Association (EMA) is a group of 250 board- certified emergency physicians. They are
responsible for effectively managing the emergency departments. List out what BI values and applications they
should be implementing.
Answer :BI values and applications :
In today'shealthcare environment,organizationsare swimmingin an ever-deeper pool of data yet many lack the
technology to use this data as valuable information. As regulations change and the amount of data increases,
organizationsare turningtobusiness intelligence(BI) solutionstoharnessdataforprecise decision-makingtohelp
improve patient outcomes, reduce costs, and ensure their organization's future.
Below are numerous ways healthcare providers can
b. Most of the credit card companies permit a consumer to get approval for specified amounts via mobile to
ensure that the purchase is covered. This type of consumer support which retains a customer to the bank for a
longer time is real time business intelligence. Define real time Business intelligence and the various steps
involved in the process.
Answer : Real time business intelligence :
Real-time businessintelligence (RTBI) is the process of delivering information about business operations as they
occur. The speedof today'sprocessingsystemshasmovedclassical datawarehousingintothe realm of real-time.
The result is real-time business intelligence. Business transactions as they occur are fed to a real-time business
intelligence system that maintains the current state of the enterprise. The RTBI system not only supports the
classic strategic functions of data warehousing for deriving information and knowledge from past enterprise
activity, but it also provides real-time tactical
Q2. Today businesses largely rely on the information available and can be communicated through various
sources, both internally and externally with the help of internet. Explain the role of Business Intelligence in
modern business. What are the three different types of decision that most business organisations take?
Answer : Role of business intelligence in modern business :
2. For manycompanies,newtechnologiesare causinginformationoverload,leaving decision makers overwhelmed
with inadequate, incorrect, inconsistent and misleading information. Indeed, the various acts of retrieving and
processingthisoftenuselessinformationcantie upnumerousresources.Yetthere are companies that manage to
provide their decision makers with processed and automatically consolidated raw data, presented in an
understandable, easy-to-grasp format. These
Q3. a. Granularity of data is an important factor to be considered in the business which involves data
warehousing. How the characteristics of data granularity does varies from application to application? List the
different tools in data granularity.
Answer : Granularity refers to the level of detail of the data stored fact tables in a data warehouse. High
granularity refers to data that is at or near the transaction level. Data that is at the transaction level is usual ly
referredtoas atomiclevel data.Lowgranularityreferstodatathat is summarizedoraggregated,usually from the
atomic level data. Summarized data can be lightly summarized as in daily or weekly summaries or highly
summarized data such as yearly averages and totals. Granularity is the most important to the data warehouse
architect because it affects all the environments that depend in the data warehouse for data. The main issue of
granularity is that of getting it at the right level.
b. Consider a data warehousing enterprise where a Total data quality management (TDQM) cycle has to be
implemented. Find the members involved in TDQM team of that organisation.
Answer : Members involved in TDQM team :
Form a data qualityimprovementteam,with:·A teamleader,who is responsible (process owner) of the product
attributesandhas the powertoimplementsolutions · A team engineer who can facilitate the team meetings · A
data manufacturer who has extensive knowledge about the database system · A financial team member, who
understands financial consequences of proposed solutions · Product attribute data suppliers, selected on the
chosen product attribute to handle · Product
Q4. a. You are given the responsibility to organize a tour for your batch to an organisation. Find out the
parameters used by your team for data mining.
Answer : Parameters for data mining :
Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters
include:
Association - looking for patterns where one event is connected to another event
Sequence or path analysis - looking for patterns where one event leads to another later event
Classification - looking for new patterns (May result in a change
Q5. According to a recent IDC report, knowledge management is in a state of high growth, especially among the
business and legal services industries. As the performance metrics of early adopters are documenting the
substantial benefits of knowledge management, more organizations are recognizing the value of leveraging
organizational knowledge. Define Knowledge Management. Explain the various characteristics of Knowledge
management. What are knowledge assets?
Answer : Knowledge Management :
Knowledge management (KM) comprises a range of strategies and practices used in an organisation to identify,
create, represent, distribute, and enable adoption of insights and experiences. Such insights and experiences
comprise knowledge,eitherembodiedinindividualsorembeddedinorganisationsas processesorpractices.More
3. recently,otherfields have started contributing to KMresearch; these include information and media, computer
science, public health, and public policy.
Q6. How to make the best use of Business intelligence? What are the advantages of BI with sales?
Answer :Use of Business intelligence :
Business intelligence (BI) is a set of theories, methodologies, processes, architectures, and technologies that
transformraw data intomeaningfulanduseful informationforbusinesspurposes.BI can handle large amounts of
informationtohelpidentifyanddevelopnew opportunities.Makinguse of new opportunities and implementing
an effective strategy can provide a competitive market advantage and long-term stability.
BI can be used in following ways wisely
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id
-> help.mbaassignments@gmail.com
or
call us at -> 08263069601