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Vendor Name : SASInstitute
Exam Code : A00-270
Exam Name : SAS BI Content Development
Questions and Answers : 89 Q & A
Updated On : February 21, 2019
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Q&A : 89 Real Questions

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    SAS BI Content Development

    Pass 4 sure A00-270 dumps | Killexams.com A00-270 real questions | [HOSTED-SITE]

    SAS Certified BI Content Developer | killexams.com real questions and Pass4sure dumps

    Related Resources: Books   

    This vendor-specific Certification is Offered By:SAS Institute Inc.Cary, NC USAPhone: 800-333-7660Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Skill Level: Foundation                          Status: Active

    Low Cost: $180 (shortest track)               

    Summary:For individuals who build, implement, and customize SAS interface applications and dashboards for consumption by business users.

    Initial Requirements:You must pass the SAS BI Content Development exam ($180). The exam consists of 64 multiple-choice questions and has a 2-hour time limit. A passing score of 70% is required.

    Topics covered include business user reporting applications, advanced reporting techniques and roles, creating Information maps, building a SAS BI Dashboard application, building stored processes, utilizing advanced techniques with SAS reports, utilizing multidimensional (OLAP) data sources, and the environment metadata, among others.

    Training is available but not required.

    Continuing Requirements:The SAS Global Certification Program now issues versioned credentials that do not expire. The version is indicated in the credential name - for example, SAS Certified Base Programmer for SAS 9. Previously, SAS issued non-versioned credentials and required recertification every 3 years, but with the addition of versioning to the credential names, recertification requirements were dropped.

    See all Sas Certifications

    Vendor's page for this certification


    Visual Analytics in Education 2019 Global Market - Share, Segmentation, Application, Technology and Forecast to 2025 | killexams.com real questions and Pass4sure dumps

    Jan 29, 2019 (Heraldkeeper via COMTEX) -- Visual Analytics in Education Market 2019

    Higher education institutions have a major interest in increasing the educational quality and its effectiveness. Student retention and graduation levels constitute a particularly important quality measure of their effort. Academic Analytics is the business intelligence term used in academic settings. It especially facilitates creation of actionable intelligence to enhance learning and student success. Exploration and interactive visualization of multivariate data without significant reduction of dimensionality remains a challenge.

    According to the report, one driver in the market is the increase in online content development and digitalization. E-learning course providers are creating and delivering content based on the availability of new and unique technological tools such as LMS and LCMS. LMS is a software that is used to share study materials online. LCMS is used to create, manage, and deliver e-learning content to users. They have become a critical part of any educational institution that has online education or training systems. With the centralized learning system provided by an LMS, institutions can offer learners with a wide variety of learning content.

    In 2018, the global Visual Analytics in Education market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

    This report focuses on the global Visual Analytics in Education status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Visual Analytics in Education development in United States, Europe and China.

    Request a Sample Report @https://www.wiseguyreports.com/sample-request/3710769-global-visual-analytics-in-education-market-size-status-and-forecast-2019-2025

    The key players covered in this studyOracleQlik TechnologiesSAS InstituteTableauDomoDundas Data VisualizationIBMLogi AnalyticsMicroStrategySAP

    Market segment by Type, the product can be split intoOn-premiseCloud

    Market segment by Application, split intoEducational InstitutionsSchools

    Market segment by Regions/Countries, this report coversUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South America

    Complete Report Details @https://www.wiseguyreports.com/reports/3710769-global-visual-analytics-in-education-market-size-status-and-forecast-2019-2025

    Table of Contents -Analysis of Key Points

    1 Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered1.4 Market Analysis by Type1.4.1 Global Visual Analytics in Education Market Size Growth Rate by Type (2014-2025)1.4.2 On-premise1.4.3 Cloud1.5 Market by Application1.5.1 Global Visual Analytics in Education Market Share by Application (2014-2025)1.5.2 Educational Institutions1.5.3 Schools1.6 Study Objectives1.7 Years Considered

    2 Global Growth Trends2.1 Visual Analytics in Education Market Size2.2 Visual Analytics in Education Growth Trends by Regions2.2.1 Visual Analytics in Education Market Size by Regions (2014-2025)2.2.2 Visual Analytics in Education Market Share by Regions (2014-2019)2.3 Industry Trends2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market Opportunities

    3 Market Share by Key Players3.1 Visual Analytics in Education Market Size by Manufacturers3.1.1 Global Visual Analytics in Education Revenue by Manufacturers (2014-2018)3.1.2 Global Visual Analytics in Education Revenue Market Share by Manufacturers (2014-2018)3.1.3 Global Visual Analytics in Education Market Concentration Ratio (CR5 and HHI)3.2 Visual Analytics in Education Key Players Head office and Area Served3.3 Key Players Visual Analytics in Education Product/Solution/Service3.4 Date of Enter into Visual Analytics in Education Market3.5 Mergers & Acquisitions, Expansion Plans

    ..........

    12 International Players Profiles12.1 Oracle12.1.1 Oracle Company Details12.1.2 Company Description and Business Overview12.1.3 Visual Analytics in Education Introduction12.1.4 Oracle Revenue in Visual Analytics in Education Business (2014-2019)12.1.5 Oracle Recent Development12.2 Qlik Technologies12.2.1 Qlik Technologies Company Details12.2.2 Company Description and Business Overview12.2.3 Visual Analytics in Education Introduction12.2.4 Qlik Technologies Revenue in Visual Analytics in Education Business (2014-2019)12.2.5 Qlik Technologies Recent Development12.3 SAS Institute12.3.1 SAS Institute Company Details12.3.2 Company Description and Business Overview12.3.3 Visual Analytics in Education Introduction12.3.4 SAS Institute Revenue in Visual Analytics in Education Business (2014-2019)12.3.5 SAS Institute Recent Development12.4 Tableau12.4.1 Tableau Company Details12.4.2 Company Description and Business Overview12.4.3 Visual Analytics in Education Introduction12.4.4 Tableau Revenue in Visual Analytics in Education Business (2014-2019)12.4.5 Tableau Recent Development12.5 Domo12.5.1 Domo Company Details12.5.2 Company Description and Business Overview12.5.3 Visual Analytics in Education Introduction12.5.4 Domo Revenue in Visual Analytics in Education Business (2014-2019)12.5.5 Domo Recent Development12.6 Dundas Data Visualization12.6.1 Dundas Data Visualization Company Details12.6.2 Company Description and Business Overview12.6.3 Visual Analytics in Education Introduction12.6.4 Dundas Data Visualization Revenue in Visual Analytics in Education Business (2014-2019)12.6.5 Dundas Data Visualization Recent Development12.7 IBM12.7.1 IBM Company Details12.7.2 Company Description and Business Overview12.7.3 Visual Analytics in Education Introduction12.7.4 IBM Revenue in Visual Analytics in Education Business (2014-2019)12.7.5 IBM Recent Development12.8 Logi Analytics12.8.1 Logi Analytics Company Details12.8.2 Company Description and Business Overview12.8.3 Visual Analytics in Education Introduction12.8.4 Logi Analytics Revenue in Visual Analytics in Education Business (2014-2019)12.8.5 Logi Analytics Recent Development

    Continued.....

    CONTACT US:Norah TrentPartner Relations & Marketing Managersales@wiseguyreports.comwww.WiseGuyReports.comPh: +1-646-845-9349 (US)Ph: +44 208 133 9349 (UK)


    Business Intelligence Job Descriptions | killexams.com real questions and Pass4sure dumps

    In the Master of Science Business Intelligence program at Saint Joseph’s University, the average age of students is 33 and the male to female ratio is approximately 75/25. Twenty-eight percent of these students already have a master’s degree. There are students from the Army and Marines, banks, grocery chains, investment firms, healthcare and pharmaceutical firms, consultancies, utility companies, technology companies and insurance companies. Many of the students are employed as analysts or consultants and some are managers. Many of these students have technology-related job titles, but there are only a few who already hold business intelligence (BI) positions.

    When some of these students graduate, they will be looking for positions as BI analysts or managers. Surveying the students’ backgrounds got me interested as to the types of BI positions that were being posted on online job websites. I decided to do a search at Dice.com to see what types of BI jobs existed and how BI jobs are being described.

    A search on one spring day for “business intelligence” jobs at Dice.com yielded 1,942 position listings. A sampling of the job titles listed included:

  • Systems Analyst – Oracle Business Intelligence
  • Business Intelligence Developer
  • SQL Server Business Intelligence
  • Business Intelligence Administrator
  • Business Intelligence Manager
  • Business Intelligence Analyst
  • Business Intelligence Consultant
  • I thought I would then take a look at the some of the job descriptions to see what qualifications employers were looking for in candidates for these positions.

    The first one I found was a description for a BI analyst position. It said that the duties included “developing new BI services offerings, content creation, value propositions, revenue/expense projections and technology approach.” It stated that the candidate “would be responsible for consulting with clients on business needs, translating business needs into analytics/reporting requirements, and interfacing with company and client to ensure successful delivery of client reporting.” Duties and functions of the position included developing, packaging and delivering new service offerings related to business intelligence. These offerings were said to encompass “clearly defined value propositions and creating defensible profitability models.”

    I thought this was a fair description of what a BI analyst should be doing. However, many of the positions were software-oriented and vendor-specific in their descriptions. For example, there were job titles where SQL Server, Oracle, Siebel, SAS, SAP, Hyperion, Crystal Reports or Cognos were specifically mentioned in the job titles.

    Some job titles were focused on where or how BI applications would be applied. These included portals, CRM, information management, performance management, fraud detection and money laundering, federal intelligence, dashboards, insurance claims, quality assurance and financial reporting.

    Manager and director of BI positions typically included being responsible for the quality, structure and management of data and information within the organization. This included, for example, the movement and cleansing of data moving in and out of the company, the appropriate structuring and enrichment of data in the transaction and decision support environments, and the presentation of quality data for use by data consumers.

    Other responsibilities of a BI manager/director included things such as:

  • Collaborating with end users to identify needs and opportunities for improved data management and delivery.
  • Overseeing the ongoing development and operations of an operational data store and enterprise data warehouse.
  • Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value.
  • Overseeing the ongoing development and operations of a business intelligence architecture that enables fact-based decision making and ad hoc analysis and insight generation.
  • Staying current with industry trends.
  • Advising and educating management on their relative importance and impact.
  • I was also interested in the academic backgrounds desired for BI positions. Almost all positions listed required a bachelor's degree from an accredited educational institution, but many also mandated “some number of years of equivalent professional experience” (whatever that means). Surprisingly, some job postings made no mention of a specific academic requirement. They simply focused on years of experience and technology knowledge requirements. For example, one job only listed the following required skills for a business intelligence analyst:
  • Be proficient with the IBM Cognos v8 development tool suite.
  • Be fully capable of developing OLAP cubes, frameworks and reports at the direction of the manager or BI project manager.
  • During development activities, on rare occasions, it may be necessary to provide support outside normal working hours.
  • Have extensive experience in the design and development of OLAP functionality.
  • Be proficient with SQL.
  • I do understand that Dice.com identifies itself as “The Career Hub for Tech Insiders.” And while I appreciate that such a site would stress technology skills, I am surprised that there is so little mention of any specific analytic educational backgrounds needed for the positions advertised. I presume that it is assumed by employers that if a candidate knows how to use particular BI software that they are also able to effectively select, justify and interpret the meaning of the analytics employed to their BI clientele. I think that this may be bit of a leap of faith though!

    Most listings made no mention of specifically required analytic proficiencies. However, in many job postings, this was implied when they described the position as including designing and creating SQL based frameworks, OLAP cube models and end-user reports. One example of implied analytical competency stated “…with strong data modeling skills. The scope of this role is to design the conceptual, logical and physical data models necessary to support the analytic data requirements for a large scorecard/dashboard short-term project.”

    I found one business intelligence listing that wanted candidates to have a bachelor’s degree in computer science, software design, management information systems, engineering or a related field. It struck me as odd that they did not specifically specify or stress a strong analytics and communications background (e.g., math, statistics, quantitative methods, and verbal and writing proficiency) since the main focus of the job was the delivery of business intelligence solutions to end users to facilitate their making more informed business decisions.

    Some of the BI positions stated, “Superior written and oral communication skills are essential.” And a few listings were particularly specific as to the nature of the behavioral skills they expected of a BI analyst. In particular, one posting looked for a BI professional who had:

  • An ability to instill and reinforce a strong customer service and business-oriented ethic in the entire team,
  • An ability to manage and work with a culturally diverse population,
  • The ability to balance between data needs and requirements for action,
  • Strong management and leadership skills with a proactive participative management style, and
  • An ability to work well and productively, always projecting a positive outlook in a fast-paced, sometimes stressful environment.
  • As an educator, I realize that many students peruse websites to see what is expected in a field of interest. Dice.com BI listings would suggest to many students that there are a lot of BI jobs and that they are technical IT jobs. However, what worries me is that students need to understand that while technology experience is important in business intelligence, the perquisite to many of these jobs is a strong math and analytics background, effective communications skills and the ability to interact well with colleagues. BI software skills placed on this type of educational foundation can facilitate the realization of a successful BI professional, but BI software skills without such background are potentially problematic for the employee, the firm and its decision-making activities.

    My point is to be careful what you ask for. If the emphasis on position postings is specific technology experience, you may presume too much about the candidates’ underlying competencies. Maybe what is important to specify in addition to software skills are the candidates' needs to possess core mathematical competencies, the ability to communicate and interact effectively (both in writing and verbally), and the ability to learn how to learn – and not just software!

  • Richard HerschelRichard Herschel

    Richard is Chair of the Department of Decision & System Sciences at Saint Joseph's University in Philadelphia. Before becoming an educator, he worked at Maryland National Bank, Schering-Plough Corporation, Johnson & Johnson, and Columbia Pictures as a systems analyst. He received his BA in journalism from Ohio Wesleyan University, his Master’s in Administrative Sciences from Johns Hopkins, and his Ph.D. from Indiana University in Management Information Systems. He has earned the Certified Systems Professional designation, and he has written extensively about both knowledge management and business intelligence. Dr. Herschel can be reached at herschel@sju.edu.

    Editor's Note: More articles and resources are available in Richard Herschel's BeyeNETWORK Expert Channel. Be sure to visit today!

  • Recent articles by Richard Herschel



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