Xcelerated Business Insights (xbi): Going beyond business intelligence to drive information value
|
|
- Carmella Hubbard
- 5 years ago
- Views:
Transcription
1 KNOWLEDGENT INSIGHTS volume 1 no. 5 October 7, 2011 Xcelerated Business Insights (xbi): Going beyond business intelligence to drive information value Today s growing commercial, operational and regulatory pressures underscore the importance of information management. Access to critical business information at the right time is essential to maintain competitive advantage. Despite industry progress, Enterprise Information Management (EIM) professionals continue to face implementation challenges due to the ever increasing and innovative ways information is used throughout the enterprise. Common practical challenges: Varying degree of information structure Dynamically locating, accessing and trusting the information Facilitating navigation, analysis and information visualization Key Features of xbi Core: Rapid Declarative Information Rule-based Solutions Integration of data across enterprise lines of business without physically integrating the data Inherent trust and traceability in every solution Flexible scalability With our EIM experience and deep cross-industry knowledge, Knowledgent believes these challenges are an opportunity to innovate. xbi is a platform that enables Knowledgent to deliver industry-centric solutions that are turn-key, configurable and/ or managed-services for their clients. These solutions address EIM challenges by: Declaratively creating solutions that quickly enable complex and flexible use of structured and unstructured information Collating data from multiple data sources into a single model making holistic processing across the typical enterprise information landscape possible Integrating deep traceability, from the data processing rules down to the data that enhances trust and visibility Scaling to data complexity and volumes of the largest enterprise
2 The xbi Difference xbi Technical Overview At a high level, xbi exploits the difference between programming and modeling. Programming/ procedural approaches require predetermining the order of steps necessary to solve a given problem. In contrast, declarative modeling systems specify rules independently from the problem to be solved. It s then up to the modeling system to analyze these rules to determine how to apply them in an order that satisfies all the conditions of the solution. A major challenge with this approach is providing a way to declare the rules that scales to enterprise solutions Although xbi has multiple add-on modules, the core is the integration of the data access, rule processing and presentation capabilities. As an illustration of the contrast between declarative and procedural approaches, compare a business spreadsheet environment with the stack of tools typically used to create an analytical solution (ETL, BI, Stored Procedures, programming language, etc.). A tool like Excel is a declarative modeling system in that the user wants a particular cell in a spreadsheet to represent a particular value. It s necessary only to specify the formula required to compute that value. More specifically, the user does not need to identify any other cells that must be computed before the desired value is computed. The ability to operate at a high-level (and not pre-specify computational order) is what gives spreadsheets much of their power and flexibility versus a procedural approach. xbi rules are declarative specifications used to solve information management problems. xbi is a modeling system for specifying the solution to the entire problem, from the lowest level data access thru the business processing and presentation, in ways that are faster to build and scale more effectively than other approaches. The integration of a federated data access, declarative modeling of the business and data logic and sliceand-dice style reporting, makes xbi dramatically more powerful. Through this integration the declarative approach is leveraged across all aspects of any solution. Federated Data Access: This enables solutions that span multiple data sources without physically moving or changing data. The tables, columns and joins needed by the rules are modeled and managed via the federation. This forms the foundation for a virtual data hypercube warehouse. Rules Engine: This dynamically combines data and generates insights. Every variable, dimension, fact, hierarchy, calculation, time period, data element and exception is modeled as a declarative rule. The rules and federation are linked via data map rules that point to values in the data source or multiple data sources based on rule conditions. Presentation: This is comparable to traditional standalone Business Intelligence (BI) products, such as a web-based interface enabling users to create and view dashboards, reports and runs ad-hoc and what if analysis. xbi s presentation layer is distinguished knowledgent insights volume 1 no. 5 2
3 by its ability to leverage not just data, but by presenting the output of arbitrary points in the layers of rules. Furthermore, xbi supports tracing through the rules all the way to the data level. This deep integration is a core xbi differentiator, exploiting the advantages of the declarative rule-based approach across the entire stack. Declarative Rules xbi s declarative rules engine works by providing an optimized way to describe and operate on the data in an online analytical processing (OLAP)-like cube. application of these rules is patented under US patent #5,918,232.) Meta Rules Principles The meta rules are inspired by two basic and intuitive principles. The first principle is that more specific business-rules have a higher priority. For example, a rebate calculation for trade executions of blocks greater than 10K shares is.01% * (price * volume). But there is a more specific calculation for trade volumes greater than 10K and a spread greater than 1/16 for a particular customer. That more specific rule will override less specific rules, and is a key enabler of xbi s enterprise-scale analytic solutions. At the base are the rules to obtain the data from the source and place it into the cube. From there rules are defined to realize all the additional data and behavior needed for the solution. The results of a rule can be based on data or the results of other rules. In standard warehouse terminology, the results of the rules form both facts and dimensions. Rules can be as simple as Profit = Revenue - Expense or they can perform complex calculation and data access logic. xbi is differentiated from similar sounding solutions through its use of Rule-Order Independence. This capability is enabled by powerful meta rules (rules for rules) that handle rule ordering, and provides scaling well beyond spreadsheet-class applications. (The The second principle is the priority of using data directly from a database in dimensions. For example, a hierarchy in the time dimension (e.g., day, month, quarter, year) where each point of aggregation in the hierarchy can be associated with a business-rule. The vast majority of the rules in a typical model actually come from the aggregations in these hierarchies. These rules have a lower priority than rules defined by the model builder, following the intuitive idea that the databasederived rules are the basic defaults. The model builder could test the effect of implementing a September fiscal year end by creating new rules to define the new year. Beyond this, if a user wants to change a value computed by the model, that what if value takes precedence over other rules of equivalent specificity, otherwise, the user s desire to test the effect of the changed value won t be properly honored. (Note: the ability to change values as needed to support what if or to write back to the source is another differentiator.) knowledgent insights volume 1 no. 5 3
4 The importance of rule ordering impacts accuracy of results and efficiency of result delivery. Lacking appropriate efficiency can often translate into no results if the computational effort required is too great. Real-Time Rules Management Although the xbi rules approach is intuitively powerful, the real power of xbi is in its ability to apply the rules in real-time. For example, the power of spreadsheets would be greatly diminished if making any change to cell computation required hours or even minutes to process before answers could be retrieved. Interactivity is the key benefit of an analytic model. xbi s patented active rules architecture optimizes rules ordering and models to provide dramatic performance gains. Model Auditing The xbi user interface further leverages the optimized rule organization to allow interactive exploration of a model s rules. This makes it possible to determine instantly and precisely not only how any value in the model was derived, but the ability to show the actual values or data sources used. Further, it s possible to see at a glance what downstream computations any value might be used in. Performance The rules optimization is accomplished by the rule set preparation process. xbi evaluates all the rules in combination, producing an internal, multidimensional representation of the model. This representation contains entries with a specification of a collection of cells in the cube and a rule which can be applied to compute the value of each of the cells. Once organized and a request for data is presented, the precise definition of the process for computing every single value from the entire business model can be optimally found and computed. It s critical that actual retrieval of data from source systems and computation of cell values from those data be as fast as possible. xbi incorporates a large number of optimizations in both database access and internal calculations to address the performance requirements. Computations, filtering and sorting operations are pushed into the underlying relational database where the hardware and software platform will generally be scaled to match the volume of data being analyzed. Only if the operation can t be performed by the database will it be performed by xbi. This occurs relatively infrequently, and the frequency can be reduced further by the ability for the business analyst to individualize specific SQL operations as part of the model s definition. Other optimizations are designed to increase performance by not having the database do some operations. For example, if most but not all rows need to be returned from a table, instead of giving the database a large and time-consuming filtering, xbi will drop the knowledgent insights volume 1 no. 5 4
5 database filter altogether, and discard the few unneeded rows itself. Finally, xbi fully supports caching of parts of a model and has a multi-threaded architecture optimized for use on symmetric multi-processor hardware platforms. Evolution Evolution of any solution must keep pace with the constant change of modern businesses. Every change implies changes to the business models used to guide the business. The combination of the xbi capabilities, most notably declarative rules rather than traditional fragile procedural approaches, enable solution evolution at the pace of business. stores them as structured data that can be merged into xbi rules-based models. This makes solutions like semantic enrichment of Master Data, discovery of customer affiliations, and visibility of trends within and outside of the enterprise attainable. Data Management Modules: These modules are comprised of discovery, metadata, lineage and governance components that provide a detailed picture of the data structures and underlying relationships of the data sources used in a solution. Federation Plug-in: This extends the available data universe to almost any source beyond the RDBMScentric approach immediately available via the xbi core. This aspect of the plug-and-play architecture of xbi is frequently used to integrate xbi in an enterprise that already has a data federation product in place. Plug-In Modules BI Tools Plug-in: This extends the output of xbi rule-based processing to feed existing traditional BI tool deployments. A powerful variation on this theme is integration BI tools that support the XMLA-MDX standards. xbi can deliver the results of rules to any XMLA-MDX compliant product making the output of xbi transparently available. Additional plug-in functionality augments xbi Semantic Enrichment Module: This module provides the capability to integrate structured and unstructured data. The module allows data from social media websites (e.g., Linked-In, Twitter, etc.), or internal text sources (e.g., call-center call notes), to be semantically analyzed. This analysis produces insights such as people, places, organizations, sentiment, etc., and knowledgent insights volume 1 no. 5 5
6 Knowledgent Insights offers business and strategic insights on the latest trends affecting information efficiency and management that drives strategic growth decisions. For more information on the subject matter covered in this issue, contact About Knowledgent Knowledgent ( is a leading industry consulting and information management firm. It combines deep industry expertise with advanced information management capabilities to maximize the value of information to empower clients to make informed strategic decisions. Knowledgent leverages large-scale analytics, unstructured data mining, semantic integration and master information management to help clients optimize business operations. Founded in 2009, Knowledgent has offices in Boston, Massachusetts, New York, New York and Warren, New Jersey Knowledgent Group Inc. All rights reserved. knowledgent insights volume 1 no. 5 6
The strategic advantage of OLAP and multidimensional analysis
IBM Software Business Analytics Cognos Enterprise The strategic advantage of OLAP and multidimensional analysis 2 The strategic advantage of OLAP and multidimensional analysis Overview Online analytical
More informationSAP Agile Data Preparation Simplify the Way You Shape Data PUBLIC
SAP Agile Data Preparation Simplify the Way You Shape Data Introduction SAP Agile Data Preparation Overview Video SAP Agile Data Preparation is a self-service data preparation application providing data
More informationCOURSE 20466D: IMPLEMENTING DATA MODELS AND REPORTS WITH MICROSOFT SQL SERVER
ABOUT THIS COURSE The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports
More informationPartner Presentation Faster and Smarter Data Warehouses with Oracle OLAP 11g
Partner Presentation Faster and Smarter Data Warehouses with Oracle OLAP 11g Vlamis Software Solutions, Inc. Founded in 1992 in Kansas City, Missouri Oracle Partner and reseller since 1995 Specializes
More informationUNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX
UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX 1 Successful companies know that analytics are key to winning customer loyalty, optimizing business processes and beating their
More informationEnhancing Security With SQL Server How to balance the risks and rewards of using big data
Enhancing Security With SQL Server 2016 How to balance the risks and rewards of using big data Data s security demands and business opportunities With big data comes both great reward and risk. Every company
More informationImplementing Data Models and Reports with SQL Server 2014
Course 20466D: Implementing Data Models and Reports with SQL Server 2014 Page 1 of 6 Implementing Data Models and Reports with SQL Server 2014 Course 20466D: 4 days; Instructor-Led Introduction The focus
More informationIBM InfoSphere Information Analyzer
IBM InfoSphere Information Analyzer Understand, analyze and monitor your data Highlights Develop a greater understanding of data source structure, content and quality Leverage data quality rules continuously
More informationCisco APIC Enterprise Module Simplifies Network Operations
Cisco APIC Enterprise Module Simplifies Network Operations October 2015 Prepared by: Zeus Kerravala Cisco APIC Enterprise Module Simplifies Network Operations by Zeus Kerravala October 2015 º º º º º º
More informationProduct Documentation SAP Business ByDesign August Analytics
Product Documentation PUBLIC Analytics Table Of Contents 1 Analytics.... 5 2 Business Background... 6 2.1 Overview of Analytics... 6 2.2 Overview of Reports in SAP Business ByDesign... 12 2.3 Reports
More informationCHAPTER 8 DECISION SUPPORT V2 ADVANCED DATABASE SYSTEMS. Assist. Prof. Dr. Volkan TUNALI
CHAPTER 8 DECISION SUPPORT V2 ADVANCED DATABASE SYSTEMS Assist. Prof. Dr. Volkan TUNALI Topics 2 Business Intelligence (BI) Decision Support System (DSS) Data Warehouse Online Analytical Processing (OLAP)
More information20466C - Version: 1. Implementing Data Models and Reports with Microsoft SQL Server
20466C - Version: 1 Implementing Data Models and Reports with Microsoft SQL Server Implementing Data Models and Reports with Microsoft SQL Server 20466C - Version: 1 5 days Course Description: The focus
More informationOLAP Introduction and Overview
1 CHAPTER 1 OLAP Introduction and Overview What Is OLAP? 1 Data Storage and Access 1 Benefits of OLAP 2 What Is a Cube? 2 Understanding the Cube Structure 3 What Is SAS OLAP Server? 3 About Cube Metadata
More informationThe Business Value of Metadata for Data Governance: The Challenge of Integrating Packaged Applications
The Business Value of Metadata for Data Governance: The Challenge of Integrating Packaged Applications By Donna Burbank Managing Director, Global Data Strategy, Ltd www.globaldatastrategy.com Sponsored
More informationIBM Software IBM InfoSphere Information Server for Data Quality
IBM InfoSphere Information Server for Data Quality A component index Table of contents 3 6 9 9 InfoSphere QualityStage 10 InfoSphere Information Analyzer 12 InfoSphere Discovery 13 14 2 Do you have confidence
More informationTableau Metadata Model
Tableau Metadata Model Author: Marc Reuter Senior Director, Strategic Solutions, Tableau Software p2 Most Business Intelligence platforms fall into one of two metadata camps: either model the entire enterprise
More informationMicrosoft certified solutions associate
Microsoft certified solutions associate MCSA: BI Reporting This certification demonstrates your expertise in analyzing data with both Power BI and Excel. Exam 70-778/Course 20778 Analyzing and Visualizing
More informationRED HAT ENTERPRISE LINUX. STANDARDIZE & SAVE.
RED HAT ENTERPRISE LINUX. STANDARDIZE & SAVE. Is putting Contact us INTRODUCTION You know the headaches of managing an infrastructure that is stretched to its limit. Too little staff. Too many users. Not
More informationREPORTING AND QUERY TOOLS AND APPLICATIONS
Tool Categories: REPORTING AND QUERY TOOLS AND APPLICATIONS There are five categories of decision support tools Reporting Managed query Executive information system OLAP Data Mining Reporting Tools Production
More informationSQL Server Analysis Services
DataBase and Data Mining Group of DataBase and Data Mining Group of Database and data mining group, SQL Server 2005 Analysis Services SQL Server 2005 Analysis Services - 1 Analysis Services Database and
More informationHortonworks DataFlow. Accelerating Big Data Collection and DataFlow Management. A Hortonworks White Paper DECEMBER Hortonworks DataFlow
Hortonworks DataFlow Accelerating Big Data Collection and DataFlow Management A Hortonworks White Paper DECEMBER 2015 Hortonworks DataFlow 2015 Hortonworks www.hortonworks.com 2 Contents What is Hortonworks
More informationRINGTAIL A COMPETITIVE ADVANTAGE FOR LAW FIRMS. Award-winning visual e-discovery software delivers faster insights and superior case strategies.
RINGTAIL A COMPETITIVE ADVANTAGE FOR LAW FIRMS Award-winning visual e-discovery software delivers faster insights and superior case strategies. Key reasons Ringtail should be the choice. The latest technology
More informationFast Innovation requires Fast IT
Fast Innovation requires Fast IT Cisco Data Virtualization Puneet Kumar Bhugra Business Solutions Manager 1 Challenge In Data, Big Data & Analytics Siloed, Multiple Sources Business Outcomes Business Opportunity:
More informationVMware Cloud Operations Management Technology Consulting Services
VMware Cloud Operations Management Technology Consulting Services VMware Technology Consulting Services for Cloud Operations Management The biggest hurdle [that CIOs face as they move infrastructure and
More informationIDU0010 ERP,CRM ja DW süsteemid Loeng 5 DW concepts. Enn Õunapuu
IDU0010 ERP,CRM ja DW süsteemid Loeng 5 DW concepts Enn Õunapuu enn.ounapuu@ttu.ee Content Oveall approach Dimensional model Tabular model Overall approach Data modeling is a discipline that has been practiced
More informationSAP Crystal Reports and SAP HANA: Options and Opportunities (0301)
September 9 11, 2013 Anaheim, California SAP Crystal Reports and SAP HANA: Options and Opportunities (0301) Jaclyn Churcher Learning Points Connectivity options to SAP HANA for SAP Crystal Reports Two
More informationMAPR DATA GOVERNANCE WITHOUT COMPROMISE
MAPR TECHNOLOGIES, INC. WHITE PAPER JANUARY 2018 MAPR DATA GOVERNANCE TABLE OF CONTENTS EXECUTIVE SUMMARY 3 BACKGROUND 4 MAPR DATA GOVERNANCE 5 CONCLUSION 7 EXECUTIVE SUMMARY The MapR DataOps Governance
More informationCONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED DATA PLATFORM
CONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED PLATFORM Executive Summary Financial institutions have implemented and continue to implement many disparate applications
More informationData Protection for Virtualized Environments
Technology Insight Paper Data Protection for Virtualized Environments IBM Spectrum Protect Plus Delivers a Modern Approach By Steve Scully, Sr. Analyst February 2018 Modern Data Protection for Virtualized
More informationThe Value of Data Modeling for the Data-Driven Enterprise
Solution Brief: erwin Data Modeler (DM) The Value of Data Modeling for the Data-Driven Enterprise Designing, documenting, standardizing and aligning any data from anywhere produces an enterprise data model
More informationImplementing Data Models and Reports with Microsoft SQL Server 2012
CÔNG TY CỔ PHẦN TRƯỜNG CNTT TÂN ĐỨC TAN DUC INFORMATION TECHNOLOGY SCHOOL JSC LEARN MORE WITH LESS! Course 10778: Implementing Data Models and Reports with Microsoft SQL Server 2012 Length: 5 Days Audience:
More informationINTRODUCTION. Chris Claterbos, Vlamis Software Solutions, Inc. REVIEW OF ARCHITECTURE
BUILDING AN END TO END OLAP SOLUTION USING ORACLE BUSINESS INTELLIGENCE Chris Claterbos, Vlamis Software Solutions, Inc. claterbos@vlamis.com INTRODUCTION Using Oracle 10g R2 and Oracle Business Intelligence
More informationSolving the Enterprise Data Dilemma
Solving the Enterprise Data Dilemma Harmonizing Data Management and Data Governance to Accelerate Actionable Insights Learn More at erwin.com Is Our Company Realizing Value from Our Data? If your business
More informationData Virtualization Implementation Methodology and Best Practices
White Paper Data Virtualization Implementation Methodology and Best Practices INTRODUCTION Cisco s proven Data Virtualization Implementation Methodology and Best Practices is compiled from our successful
More informationData Mining: Approach Towards The Accuracy Using Teradata!
Data Mining: Approach Towards The Accuracy Using Teradata! Shubhangi Pharande Department of MCA NBNSSOCS,Sinhgad Institute Simantini Nalawade Department of MCA NBNSSOCS,Sinhgad Institute Ajay Nalawade
More informationSatisfy the Business Using Db2 Web Query
Satisfy the Business Using Db2 Web Query Rob Bestgen Db2 for i Lab Services bestgen@us.ibm.com Blog: db2webqueryi.blogspot.com qu2@us.ibm.com Db2 Web Query for i From Report Modernization to Business Intelligence
More informationSAP BW 3.5 Enhanced Reporting Capabilities SAP AG
SAP BW 3.5 Enhanced Reporting Capabilities SAP AG Learning Objectives As a result of this lecture, you will: Be familiar with Business Explorer (BEx) suite 3.5 Know the available new features Understand
More informationATA DRIVEN GLOBAL VISION CLOUD PLATFORM STRATEG N POWERFUL RELEVANT PERFORMANCE SOLUTION CLO IRTUAL BIG DATA SOLUTION ROI FLEXIBLE DATA DRIVEN V
ATA DRIVEN GLOBAL VISION CLOUD PLATFORM STRATEG N POWERFUL RELEVANT PERFORMANCE SOLUTION CLO IRTUAL BIG DATA SOLUTION ROI FLEXIBLE DATA DRIVEN V WHITE PAPER Create the Data Center of the Future Accelerate
More informationIMPLEMENTING SECURITY, PRIVACY, AND FAIR DATA USE PRINCIPLES
IMPLEMENTING SECURITY, PRIVACY, AND FAIR DATA USE PRINCIPLES Introductions Agenda Overall data risk and benefit landscape / shifting risk and opportunity landscape and market expectations Looking at data
More informationMaking the Impossible Possible
Making the Impossible Possible Find and Eliminate Data Errors with Automated Discovery and Data Lineage Introduction Organizations have long struggled to identify and take advantage of opportunities for
More informationMS-55045: Microsoft End to End Business Intelligence Boot Camp
MS-55045: Microsoft End to End Business Intelligence Boot Camp Description This five-day instructor-led course is a complete high-level tour of the Microsoft Business Intelligence stack. It introduces
More informationOverview. Introduction to Data Warehousing and Business Intelligence. BI Is Important. What is Business Intelligence (BI)?
Introduction to Data Warehousing and Business Intelligence Overview Why Business Intelligence? Data analysis problems Data Warehouse (DW) introduction A tour of the coming DW lectures DW Applications Loosely
More informationBuilt for Speed: Comparing Panoply and Amazon Redshift Rendering Performance Utilizing Tableau Visualizations
Built for Speed: Comparing Panoply and Amazon Redshift Rendering Performance Utilizing Tableau Visualizations Table of contents Faster Visualizations from Data Warehouses 3 The Plan 4 The Criteria 4 Learning
More informationAccelerate Your Enterprise Private Cloud Initiative
Cisco Cloud Comprehensive, enterprise cloud enablement services help you realize a secure, agile, and highly automated infrastructure-as-a-service (IaaS) environment for cost-effective, rapid IT service
More informationGuide Users along Information Pathways and Surf through the Data
Guide Users along Information Pathways and Surf through the Data Stephen Overton, Overton Technologies, LLC, Raleigh, NC ABSTRACT Business information can be consumed many ways using the SAS Enterprise
More informationWhat s New in Spotfire DXP 1.1. Spotfire Product Management January 2007
What s New in Spotfire DXP 1.1 Spotfire Product Management January 2007 Spotfire DXP Version 1.1 This document highlights the new capabilities planned for release in version 1.1 of Spotfire DXP. In this
More informationDATACENTER SERVICES DATACENTER
SERVICES SOLUTION SUMMARY ALL CHANGE React, grow and innovate faster with Computacenter s agile infrastructure services Customers expect an always-on, superfast response. Businesses need to release new
More informationDigital Enterprise Platform for Live Business. Kevin Liu SAP Greater China, Vice President General Manager of Big Data and Platform BU
Digital Enterprise Platform for Live Business Kevin Liu SAP Greater China, Vice President General Manager of Big Data and Platform BU Rethinking the Future Competing in today s marketplace means leveraging
More informationShine a Light on Dark Data with Vertica Flex Tables
White Paper Analytics and Big Data Shine a Light on Dark Data with Vertica Flex Tables Hidden within the dark recesses of your enterprise lurks dark data, information that exists but is forgotten, unused,
More informationCA ERwin Data Profiler
PRODUCT BRIEF: CA ERWIN DATA PROFILER CA ERwin Data Profiler CA ERWIN DATA PROFILER HELPS ORGANIZATIONS LOWER THE COSTS AND RISK ASSOCIATED WITH DATA INTEGRATION BY PROVIDING REUSABLE, AUTOMATED, CROSS-DATA-SOURCE
More informationMicrosoft End to End Business Intelligence Boot Camp
Microsoft End to End Business Intelligence Boot Camp 55045; 5 Days, Instructor-led Course Description This course is a complete high-level tour of the Microsoft Business Intelligence stack. It introduces
More informationComposite Software Data Virtualization The Five Most Popular Uses of Data Virtualization
Composite Software Data Virtualization The Five Most Popular Uses of Data Virtualization Composite Software, Inc. June 2011 TABLE OF CONTENTS INTRODUCTION... 3 DATA FEDERATION... 4 PROBLEM DATA CONSOLIDATION
More informationPowering Knowledge Discovery. Insights from big data with Linguamatics I2E
Powering Knowledge Discovery Insights from big data with Linguamatics I2E Gain actionable insights from unstructured data The world now generates an overwhelming amount of data, most of it written in natural
More informationVersion 11
The Big Challenges Networked and Electronic Media European Technology Platform The birth of a new sector www.nem-initiative.org Version 11 1. NEM IN THE WORLD The main objective of the Networked and Electronic
More informationThird generation of Data Virtualization
White Paper Third generation of Data Virtualization Write back to the sources An Enterprise Enabler white paper from Stone Bond Technologies Copyright 2014 Stone Bond Technologies, L.P. All rights reserved.
More informationData Warehousing and Decision Support (mostly using Relational Databases) CS634 Class 20
Data Warehousing and Decision Support (mostly using Relational Databases) CS634 Class 20 Slides based on Database Management Systems 3 rd ed, Ramakrishnan and Gehrke, Chapter 25 Introduction Increasingly,
More informationIntroduction to Data Science
UNIT I INTRODUCTION TO DATA SCIENCE Syllabus Introduction of Data Science Basic Data Analytics using R R Graphical User Interfaces Data Import and Export Attribute and Data Types Descriptive Statistics
More informationRecently Updated Dumps from PassLeader with VCE and PDF (Question 1 - Question 15)
Recently Updated 70-467 Dumps from PassLeader with VCE and PDF (Question 1 - Question 15) Valid 70-467 Dumps shared by PassLeader for Helping Passing 70-467 Exam! PassLeader now offer the newest 70-467
More informationModern Database Architectures Demand Modern Data Security Measures
Forrester Opportunity Snapshot: A Custom Study Commissioned By Imperva January 2018 Modern Database Architectures Demand Modern Data Security Measures GET STARTED Introduction The fast-paced, ever-changing
More informationTDWI Data Modeling. Data Analysis and Design for BI and Data Warehousing Systems
Data Analysis and Design for BI and Data Warehousing Systems Previews of TDWI course books offer an opportunity to see the quality of our material and help you to select the courses that best fit your
More informationBuilding a Data Strategy for a Digital World
Building a Data Strategy for a Digital World Jason Hunter, CTO, APAC Data Challenge: Pushing the Limits of What's Possible The Art of the Possible Multiple Government Agencies Data Hub 100 s of Service
More informationTen Innovative Financial Services Applications Powered by Data Virtualization
Ten Innovative Financial Services Applications Powered by Data Virtualization DATA IS THE NEW ALPHA In an industry driven to deliver alpha, where might financial services firms find opportunities when
More informationDeveloping SQL Data Models
Developing SQL Data Models 20768B; 3 Days; Instructor-led Course Description The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement
More informationOverview of Reporting in the Business Information Warehouse
Overview of Reporting in the Business Information Warehouse Contents What Is the Business Information Warehouse?...2 Business Information Warehouse Architecture: An Overview...2 Business Information Warehouse
More informationTHE RISE OF. The Disruptive Data Warehouse
THE RISE OF The Disruptive Data Warehouse CONTENTS What Is the Disruptive Data Warehouse? 1 Old School Query a single database The data warehouse is for business intelligence The data warehouse is based
More informationQLIKVIEW SCALABILITY BENCHMARK WHITE PAPER
QLIKVIEW SCALABILITY BENCHMARK WHITE PAPER Measuring Business Intelligence Throughput on a Single Server QlikView Scalability Center Technical White Paper December 2012 qlikview.com QLIKVIEW THROUGHPUT
More informationWelcome to the Gathering Intelligence from your Applications and Data: The case for Oracle BI eseminar
Welcome to the Gathering Intelligence from your Applications and Data: The case for Oracle BI eseminar Agenda 1. PTS Organization 2. The case for Oracle BI by Matt Elumba 3. Additional Resources Milan
More informationThe #1 Key to Removing the Chaos. in Modern Analytical Environments
October/2018 Advanced Data Lineage: The #1 Key to Removing the Chaos in Modern Analytical Environments Claudia Imhoff, Ph.D. Sponsored By: Table of Contents Executive Summary... 1 Data Lineage Introduction...
More informationEvolving To The Big Data Warehouse
Evolving To The Big Data Warehouse Kevin Lancaster 1 Copyright Director, 2012, Oracle and/or its Engineered affiliates. All rights Insert Systems, Information Protection Policy Oracle Classification from
More informationSymantec Data Center Transformation
Symantec Data Center Transformation A holistic framework for IT evolution As enterprises become increasingly dependent on information technology, the complexity, cost, and performance of IT environments
More informationDXC Technology and VMware: Innovation that Transforms
DXC Technology and VMware: Innovation that Transforms DXC and VMware for Digital Transformation Digital transformation is the talk of IT today, and although driven by technology, the focus is on real,
More informationTeradata Aggregate Designer
Data Warehousing Teradata Aggregate Designer By: Sam Tawfik Product Marketing Manager Teradata Corporation Table of Contents Executive Summary 2 Introduction 3 Problem Statement 3 Implications of MOLAP
More informationSustainable Security Operations
Sustainable Security Operations Optimize processes and tools to make the most of your team s time and talent The number and types of security incidents organizations face daily are steadily increasing,
More informationInformatica Enterprise Information Catalog
Data Sheet Informatica Enterprise Information Catalog Benefits Automatically catalog and classify all types of data across the enterprise using an AI-powered catalog Identify domains and entities with
More informationMicrosoft Power BI for O365
Microsoft Power BI for O365 Next hour.. o o o o o o o o Power BI for O365 Data Discovery Data Analysis Data Visualization & Power Maps Natural Language Search (Q&A) Power BI Site Data Management Self Service
More informationThe Data Explosion. A Guide to Oracle s Data-Management Cloud Services
The Data Explosion A Guide to Oracle s Data-Management Cloud Services More Data, More Data Everyone knows about the data explosion. 1 And the challenges it presents to businesses large and small. No wonder,
More informationQuery-Time JOIN for Active Intelligence Engine (AIE)
Query-Time JOIN for Active Intelligence Engine (AIE) Ad hoc JOINing of Structured Data and Unstructured Content: An Attivio-Patented Breakthrough in Information- Centered Business Agility An Attivio Technology
More informationUSING OLAP DATA CUBES IN BUSINESS INTELLIGENCE
Scientific Bulletin Vol. XXI No 2(42) 2016 USING OLAP DATA CUBES IN BUSINESS INTELLIGENCE Marian Pompiliu CRISTESCU marian.cristescu@ulbsibiu.ro LUCIAN BLAGA UNIVERSITY OF SIBIU, ROMANIA ABSTRACT: The
More informationSOLUTION BRIEF RSA NETWITNESS EVOLVED SIEM
RSA NETWITNESS EVOLVED SIEM OVERVIEW A SIEM is technology originally intended for compliance and log management. Later, as SIEMs became the aggregation points for security alerts, they began to be more
More informationIntro to BI Architecture Warren Sifre
Intro to BI Architecture Warren Sifre introduction Warren Sifre Principal Consultant Email: wa_sifre@hotmail.com Website: www.linkedin.com/in/wsifre Twitter: @WAS_SQL Professional History 20 years in the
More informationMICROSOFT BUSINESS INTELLIGENCE
SSIS MICROSOFT BUSINESS INTELLIGENCE 1) Introduction to Integration Services Defining sql server integration services Exploring the need for migrating diverse Data the role of business intelligence (bi)
More informationExtending the Value of MDM Through Data Virtualization
Extending the Value of MDM Through Data Virtualization Perspective on how data virtualization adds business value to MDM implementations Audience Business Stakeholders Line of Business Managers Enterprise
More informationOLAP Cubes 101: An Introduction to Business Intelligence Cubes
OLAP Cubes 101 Page 3 Clear the Tables Page 4 Embracing Cubism Page 5 Everybody Loves Cubes Page 6 Cubes in Action Page 7 Cube Terminology Page 9 Correcting Mis-cube-ceptions Page 10 OLAP Cubes 101: It
More informationVirtustream Cloud and Managed Services Solutions for US State & Local Governments and Education
Data Sheet Virtustream Cloud and Managed Services Solutions for US State & Local Governments and Education Available through NASPO ValuePoint Cloud Services VIRTUSTREAM CLOUD AND MANAGED SERVICES SOLUTIONS
More informationDEVELOPING SQL DATA MODELS
20768 - DEVELOPING SQL DATA MODELS CONTEÚDO PROGRAMÁTICO Module 1: Introduction to Business Intelligence and Data Modeling This module introduces key BI concepts and the Microsoft BI product suite. Introduction
More informationHierarchy of knowledge BIG DATA 9/7/2017. Architecture
BIG DATA Architecture Hierarchy of knowledge Data: Element (fact, figure, etc.) which is basic information that can be to be based on decisions, reasoning, research and which is treated by the human or
More informationAchieving effective risk management and continuous compliance with Deloitte and SAP
Achieving effective risk management and continuous compliance with Deloitte and SAP 2 Deloitte and SAP: collaborating to make GRC work for you Meeting Governance, Risk and Compliance (GRC) requirements
More informationASG WHITE PAPER DATA INTELLIGENCE. ASG s Enterprise Data Intelligence Solutions: Data Lineage Diving Deeper
THE NEED Knowing where data came from, how it moves through systems, and how it changes, is the most critical and most difficult task in any data management project. If that process known as tracing data
More informationOptimizing and Modeling SAP Business Analytics for SAP HANA. Iver van de Zand, Business Analytics
Optimizing and Modeling SAP Business Analytics for SAP HANA Iver van de Zand, Business Analytics Early data warehouse projects LIMITATIONS ISSUES RAISED Data driven by acquisition, not architecture Too
More informationMassive Scalability With InterSystems IRIS Data Platform
Massive Scalability With InterSystems IRIS Data Platform Introduction Faced with the enormous and ever-growing amounts of data being generated in the world today, software architects need to pay special
More informationSQL Server Business Intelligence 20768: Developing SQL Server 2016 Data Models in SSAS. Upcoming Dates. Course Description.
SQL Server Business Intelligence 20768: Developing SQL Server 2016 Data Models in SSAS Get the skills needed to successfully create multidimensional databases using Microsoft SQL Server Analysis Services
More informationAbstract. The Challenges. ESG Lab Review InterSystems IRIS Data Platform: A Unified, Efficient Data Platform for Fast Business Insight
ESG Lab Review InterSystems Data Platform: A Unified, Efficient Data Platform for Fast Business Insight Date: April 218 Author: Kerry Dolan, Senior IT Validation Analyst Abstract Enterprise Strategy Group
More informationTimeXtender extends beyond data warehouse automation with Discovery Hub
IMPACT REPORT TimeXtender extends beyond data warehouse automation with Discovery Hub MARCH 28 2017 BY MATT ASLETT TimeXtender is best known as a provider of data warehouse automation (DWA) software, but
More informationFIVE BEST PRACTICES FOR ENSURING A SUCCESSFUL SQL SERVER MIGRATION
FIVE BEST PRACTICES FOR ENSURING A SUCCESSFUL SQL SERVER MIGRATION The process of planning and executing SQL Server migrations can be complex and risk-prone. This is a case where the right approach and
More informationThree Key Challenges Facing ISPs and Their Enterprise Clients
Three Key Challenges Facing ISPs and Their Enterprise Clients GRC, enterprise services, and ever-evolving hybrid infrastructures are all dynamic and significant challenges to the ISP s enterprise clients.
More informationHow to Accelerate Merger and Acquisition Synergies
How to Accelerate Merger and Acquisition Synergies MERGER AND ACQUISITION CHALLENGES Mergers and acquisitions (M&A) occur frequently in today s business environment; $3 trillion in 2017 alone. 1 M&A enables
More informationTasting the Flavors of Analysis Services 2012
Tasting the Flavors of Analysis Services 2012 Building up the foundation for Enterprise Analytics Alan Koo PRPASS Co-Founder & President Senior Consultant Nagnoi, Inc. Blog: www.alankoo.com Twitter: @alan_koo
More informationCreate Cube From Star Schema Grouping Framework Manager
Create Cube From Star Schema Grouping Framework Manager Create star schema groupings to provide authors with logical groupings of query Connect to an OLAP data source (cube) in a Framework Manager project
More information2013 North American Software Defined Data Center Management Platforms New Product Innovation Award
2013 North American Software Defined Data Center Management Platforms New Product Innovation Award 2013 New Product Innovation Award Software Defined Data Center Management Platforms North America, 2013
More informationData Warehousing and Decision Support. Introduction. Three Complementary Trends. [R&G] Chapter 23, Part A
Data Warehousing and Decision Support [R&G] Chapter 23, Part A CS 432 1 Introduction Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business
More information