Using Open Source Platforms for Business Intelligence: Avoid Pitfalls and Maximize Roi
by Lyndsay Wise · 16 Sep 2012 · 227pp · 32,306 words
......................................................................................................... 3 Why is there a need for this book? ............................................................................ 3 What to expect in this book........................................................................................ 4 An introduction to BI.................................................................................................. 6 The components of business intelligence ................................................................... 9 CHAPTER 2 OS overview ........................................................................................................... 13 Why understanding OS matters ................................................................................ 13 A historical look at the broader OS market ............................................................. 14 The general appeal of OS
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a need for this book? Many books exist that identify how to get the most out of analytics or how to develop an open source business intelligence (OSBI) solution based on specific development or solution requirements. The reality is that even though these books provide value within the niche they address,
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going over budget are all signs of mismanagement, a lack of processes and best practices, and a misunderstanding of the requirements and end goal. Unfortunately, business intelligence (BI) is no different. And adding open source (OS) to the mix doesn’t make things easier. In many cases, it is the opposite
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business. Either way, knowledge is power, and this knowledge has not existed in a cohesive guide to help business decision makers make sense out of business intelligence, OS, its overlaps, and how to make the right decision for the 1 Project Management Solutions, http://www.pmsolutions.com/collateral/research/Strategies%20for%20Project
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%20Recovery %202011.pdf 2 Geneca, http://calleam.com/WTPF/?page_id 5 1445 Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 3 4 CHAPTER 1 Introducing BI organization as a whole. In the past, OS was a tool used by
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them by creating better visibility and higher productivity. As an industry analyst and consultant working primarily with small and mid-sized businesses looking at implementing business intelligence solutions, I continue to see collaboration among c-level executives and IT directors when making technology and specifically, BI decisions. Because many IT developers like
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software costs. Nowhere does the adage “free as in a puppy and not as in free beer” apply more directly than within a BI project. Business intelligence requires many separate components to make it work. Knowing how to put these together and understanding all of the areas where OS offerings may fit
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software offset by development efforts and long-term maintenance? Is OSBI more strategic than traditional BI offerings? And how does OSBI differ from the broader business intelligence market landscape? All of these questions will be addressed while guiding you through the process of what it takes to successfully start and complete your
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realm of BI adoption. Because OS represents a niche area within the broader BI market, what it has to offer organizations is different from other business intelligence offerings. In addition, we will look at the increase in OS popularity and how it affects the BI market specifically and what it means for
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) and by looking at ROI and TCO models that apply. This involves taking a step back and looking at what constitutes ROI and TCO within business intelligence projects and how they differ with OS specifically. This includes comparing options and looking at some of the differences in cost, internal resources required, and
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this data from disparate data sources leads to gained insights that are needed in order to remain competitive within a constantly changing competitive landscape. Enter business intelligence. Figure 1-1 will provide an overview of how BI enables organizations to consolidate data from various sources, manage both data quality and business processes
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data warehouse with separate data marts4 to address the needs of individual departments or reporting requirements, whereas Ralph Kimball,5 known as the father of business intelligence, believed in the opposite approach in essence, the importance of building individual data marts that reside within a broader data warehouse infrastructure.6 Over time
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enables both technical and business decision makers to make the right choices for their company. BI Delivery Type Breakdown. BI Type Definition Solution Parameters Traditional Business intelligence is installed and developed at the customer site, with the general purpose of reporting and analytics using historical data sets. Software as a Service BI
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. To identify which option best meets your needs, you might want to start with an online search with parameters “ELT vs. ETL.” The components of business intelligence Data Warehouse Entry #1 Sales Product Customer Retail Location Sales Rep Supply Chain 11 Data Warehouse Entry #2 Product ID Prod Desc Customer # Number of
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they have selected their BI solution because a former colleague of theirs or one of their friends working for another Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 13 14 CHAPTER 2 OS overview organization implemented X solution. Although most BI offerings can be broadly applied within
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://www.opensourceconference.nl/771, http://www.opensourceworldconference.com/en, with others being specific to universities, types of OS applications, etc. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 21 22 CHAPTER 3 The convergence of OS and BI the dark about OS outside of knowing the name
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a broader understanding of what is available and how it can be applied within the organization. Overall, the best way Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 31 32 CHAPTER 4 A look at the OSBI market to do this in relation to OSBI offerings
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/02/gartner-study-showsbi-importance.html, with the actual report being found at: http://www.gartner.com/id=1901814. 2 Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 45 46 CHAPTER 5 The increasing popularity of OS in the way it was originally intended. In essence, they
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of new capabilities or bug fix efforts and target their development efforts based on the projects they are working on. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 55 56 CHAPTER 6 The differences between general OS and commercial offerings SpagoBI, an Italian-based OSBI provider, actually
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in the way BI is managed. It is no longer enough to provide a value assessment of technology, infrastructure, or Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 65 66 CHAPTER 7 Business benefits and challenges of OS for BI what a solution can do. Organizations are
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the data without all of these data joins and additional preparation, these tasks are still required to develop strategic queries. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 79 80 CHAPTER 8 The strategy behind BI adoption The bottom line is that to get the most out
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them, they were only at the testing phase of Pentaho so our conversation focused on Vectorwise and data warehouse development. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 89 90 CHAPTER 9 Implications for users Even though NK provides a good example of identifying the convergence of
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or not, BI projects involve risk. Granted, all IT-related projects and software implementations do, but it’s important to Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 101 102 CHAPTER 10 Selling an OSBI project to the business be cognizant of this fact to try to
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to the point that one industry-defined calculation will not suit the needs of all businesses. But, the benefit of Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 117 118 CHAPTER 11 Evaluating ROI and TCO these calculators is that they do provide a basis for
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://www.businessdictionary.com/definition/total-cost-of-ownership-TCO.html and http://www.interimtechexec.com/ blog/roi-for-enterprise-software/. 3 Lowering the Cost of Business Intelligence With Open Source: A Comparison of Open Source and Traditional Vendor Costs Mark Madsen, Third Nature, Prepared for Pentaho, 2010. 2 Total cost of ownership
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offerings are minimizing these differences and potential barriers to entry, but OSBI still has the benefit of no-cost software. 4 Lowering the Cost of Business Intelligence With Open Source: A Comparison of Open Source and Traditional Vendor Costs Mark Madsen, Third Nature, Prepared for Pentaho, page 4. 122 CHAPTER 11 Evaluating
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use them as is. Within the next several pages, we will look at how three consultancy/analyst firms evaluate ROI Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 129 130 CHAPTER 12 Developing a cost-benefit analysis for OSBI for BI. All of these models are
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embarking on a BI project. The first was developed by TDWI1 (The Data Warehouse Institute), in collaboration with Hall Consulting & Research LLC2. Called the TDWI Business Intelligence ROI Calculator,3 its goal is to help organizations with their BI evaluation. Figure 12-1 identifies the aspects involved in ROI. This calculator looks
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, these KPI changes are not converted into financial benefits Business Management Effectiveness Sales/Marketing Performance Supply/Operations Performance Financial Management Effectiveness FIGURE 12-1 TDWI Business Intelligence ROI Calculator Model Components/Flowchart. 1 http://tdwi.org/ http://hallcr.com/ 3 http://hallcr.com/BI.aspx developed by Hall Consulting & Research LLC (hallcr
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the business unit, this may enable broader implementation due to the ability to allocate costs to the appropriate departments. Nucleus Research has also developed a Business Intelligence ROI Tool (Figure 12-4) that provides a survey to help guide users through the ROI evaluation process. Factors considered include Net Present Value (NPV
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in year 2 0 0 0 Enter # Shares Here Impact in year 3 0 0 0 Impact on earnings per share FIGURE 12-2 TDWI Business Intelligence ROI Calculator Total Cost Summary (Including Labor). applying overall calculations. For companies looking for a quick way to evaluate the benefits of BI, selecting
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BI Applications IT Labor Client Software Server Software Server Hardware Storage Hardware $436 $500 $384 $0 $89 $28 5-Year Total FIGURE 12-3 TDWI Business Intelligence ROI Calculator Total Implementation (Cost per User). • • How do internal development efforts offset software costs, and do they offset enough to justify community OSBI offerings
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a developer. For the more technical audience, looking at these considerations in a different light might help with the process Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 143 144 CHAPTER 13 A look at technical considerations of collaboration required between business units and IT on a
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of data and developing a framework to gain valuable insights out of information requires in-depth knowledge irrespective of platform. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 155 156 CHAPTER 14 Understanding integration and data preparation This chapter looks at the components of BI in relation
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, so it is not a step-by-step guide to developing specific applications. Therefore, this chapter looks at the steps Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 163 164 CHAPTER 15 Working within an OS environment required to work within an OSBI environment, with more detailed
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you plan your BI project properly and include all the various types of resources needed to help get you there. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 175 176 CHAPTER 16 Required skillsets both IT-related and business-oriented needs and to understand both parts of
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story due to the bigger development efforts required. In some cases This comment is based on interviewing multiple OS developers. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 185 186 • CHAPTER 17 Technical benefits and challenges actual deployment times take longer because of the development requirements of
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implementation. Integration between data sources is not intuitive. The effort involved needs to be accounted for when planning a project. Using Open Source Platforms for Business Intelligence © 2012 Elsevier Inc. All rights reserved. 199 200 CHAPTER 18 Getting started: A checklist for OSBI readiness 4 What are the integration requirements in relation
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to what other solution providers offer. This page intentionally left blank Index A Analytics, 6 12, 26, 179 Analytics engine, 10 11 B BI, see business intelligence BI adoption, 80 83 acquisitions, 83 business visibility, 81 competitive edge, 83 consolidating information, 80 81 metrics/KPIs, 82 83 mitigating risk, 82 BI drivers
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price comparability, 46 48 Business and IT benefits and challenges for, 68 69 relationship between, 68 in terms of outlook, 66 68 Business efficiencies, 46 Business intelligence applications, 7 components, 156 157 components of, 9 12 delivery methods, 7 8 environment, 159 expansion, 166 market, 16 strategy, 77 traditional, 9f Business rules
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of, 37 38 increasing popularity of, 43 IT developer flexibility and, 18 market, 14 17, 19 open standards, 19 traditional communities, 33 34 Open source business intelligence (OSBI), 3, 13 benefits, 69 73 customization options, 71 72 deployment times, 69 70 internal development efforts, 71 OS framework, 72 73 subscriptions, 72 challenges
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and IT collaboration and project sponsorship, 75 76 development efforts, 74 long-term costs, 74 75 scalability, 76 increasing popularity of, 47, 50 Open source business intelligence (OSBI) market, 32 33 adopting, 34 37 broader deployment methods, 35 customer value, 35 36 expectations of free, 36 37 future focused, 37 low TCO
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Open source selection, 84 85 budgetary constraints, 85 experiment with BI before committing, 85 familiarity, 84 get off ground running, 85 OSBI, see open source business intelligence OSBI models, 58 61 commercial offerings, 60 61 community, 59 free software, 59 60 services approach, 61 P Project sponsors, 167 R Reporting, 27 Reports
The Price of Tomorrow: Why Deflation Is the Key to an Abundant Future
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collection called spatial data that is at the intersection of digital twinning (an exact twin of the physical world that is digital), mixed reality, and business intelligence. By twinning the real world via satellite imagery, drones, and lidar, and adding global positioning, mapping, and other data streams, the company uses mixed reality
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component of business operations. Almost every business process today involves some form of data mining. Customer Relationship Management, Supply Chain Optimization, Demand Forecasting, Assortment Optimization, Business Intelligence, and Knowledge Management are just some examples of business functions that have been impacted by data mining techniques. Even though data mining has been successful
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, e-vendors want to serve up (in real time) customized menus of attractive offers e-buyers cannot resist. Gathering and aggregating customer information into e-business intelligence is an important task for any company with Web-based activities. e-Businesses expect big profits from improved decision making, and therefore e-vendors line
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the data-mining “menu”; even some additional specific techniques developed lately and applied on semi-structured data can be included in this field. Market research, business-intelligence gathering, e-mail management, claim analysis, e-procurement, and automated help desk are only a few of the possible applications where text mining can be
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within the business community, have made significant investments in collecting, storing, and converting business information into results that can be used. Unfortunately, typical implementations of business “intelligence software” have proven to be too complex for most users except for their core reporting and charting capabilities. Users’ demands for multidimensional analysis, finer data
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-like texts. The open-source data-mining specialist Rapid-I enables other companies to use leading-edge technologies for data mining and business intelligence. The discovery and leverage of unused business intelligence from existing data enables better informed decisions and allows for process optimization. SIPNA Publisher: http://eric.univ-lyon2.fr/∼ricco/sipina.html
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.oracle.com) Oracle Data Mining (ODM)—an option to Oracle Database 11 g Enterprise Edition—enables customers to produce actionable predictive information and build integrated business intelligence applications. Using data-mining functionality embedded in Oracle Database 11 g, customers can find patterns and insights hidden in their data. Application developers can quickly
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automate the discovery and distribution of new business intelligence—predictions, patterns and discoveries—throughout their organization. Optimus RP Vendor: Golden Helix Inc. (www.goldenhelix.com) Optimus RP, uses Formal Inference-based Recursive Modeling (recursive
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, and visualization processes. A common application is the analysis of financial controlling data. It runs on Windows platforms and it integrates new search techniques and “business intelligence” methodologies into an OLAP front end. EWA Systems Vendor: EWA Systems Inc. (www.ewasystems.com) EWA Systems provide enterprise analytics solutions: Math and statistics libraries
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Edition (DWE) is a suite of products that combines the strength of DB2 Universal Database™ (DB2 UDB) with the powerful business intelligence infrastructure from IBM®. DB2 Data Warehouse Edition provides a comprehensive business intelligence platform with the tools your enterprise and partners need to deploy and build next generation analytic solutions. KnowledgeMiner Vendor: KnowledgeMiner
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/fic/en/our-approach/enterprise-decision-management Fair www.apteco.com FastStats Suite www.urbanscience.com GainSmarts www.geniqmodel.com/ GenIQ Model www.fqs.pl/business_intelligence/products/ghostminer GhostMiner www.goldenhelix.com Golden Helix Optimus RP www.software.ibm.com Intelligent Miner www.spotfire.tibco.com/products/s-plus/statistical-analysis
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by Barry Meier · 17 May 2021 · 319pp · 89,192 words
in Progress, which they described as telling the “inside story” of the dossier. Christopher Steele, who co-owned an investigative firm in London called Orbis Business Intelligence, was enjoying the limelight, too. A Hollywood production company owned by the actor George Clooney had bought the rights to his story, and in 2019
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it seemed likely that Steele and his family were away. We planned to drive the next morning to London to visit the offices of Orbis Business Intelligence and I decided to write a note to drop into Steele’s mailbox on our way out of town. While in London, I had gone
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knowledge about Russia, Africa, or other parts of the world. In deciding about how to focus my reporting for this book, Fusion GPS and Orbis Business Intelligence were two natural choices because of the outsized roles that Glenn Simpson, Peter Fritsch, and Christopher Steele played in recent political events. Given its involvement
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credited with creating the modern-day investigative industry when he started his eponymous firm, Kroll Associates, in 1972. By a happy coincidence, Fusion GPS, Orbis Business Intelligence, Black Cube, and K2 Intelligence proved to be good choices for another reason. The four companies had all opened their doors for business around 2010
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he was a single parent with three young children and had to balance the demands of family life with those of his new company, Orbis Business Intelligence. Orbis had a good reputation. But it was a small fish within London’s investigative industry and it was not the first corporate intelligence firm
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what may prove to be his most enduring legacy as a private spy—the tale of the “pee tape.” Later on, his partner in Orbis Business Intelligence, Christopher Burrows, would question whether Steele had been wise to pass along the story of how Trump supposedly had hired prostitutes to urinate on a
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information in the Trump/Russia memos he sent to Fusion GPS was gathered through one key informant, or “collector” as he put it, that Orbis Business Intelligence had long used and who had a network of reliable sources inside Russia. Glenn Simpson and Peter Fritsch said Steele never disclosed his collector’s
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joined the State Department, he became Steele’s contact inside it. Over the next three years, he distributed more than one hundred reports that Orbis Business Intelligence produced for private clients to State Department colleagues. Winer, who had worked as a CIA consulant, was close to Glenn Simpson and journalists in Washington
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while working with the FBI not to speak with the media and pointed out that the FBI had struck its deal with his firm, Orbis Business Intelligence, rather than with him personally. It was an explanation that made him sound less like a hero driven by conviction than a bureaucrat. IN THE
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Nunes, a Republican from California, who dispatched two aides to London to try to spring a surprise visit on Steele at the offices of Orbis Business Intelligence. Republican senator Charles Grassley of Iowa, another Trump ally, pounced on a complaint that Bill Browder filed a year earlier where he accused Glenn Simpson
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into a rigged game based on a playbook borrowed from the McCarthy era.” Meanwhile, lawsuits were starting to pile up against Fusion GPS and Orbis Business Intelligence. In 2017, the three founders of Alfa Bank sued Fusion GPS and Orbis, charging that the information Steele had reported about them was defamatory. Separately
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against Hillary Clinton’s campaign. The lawsuit against BuzzFeed was dismissed. And to defend themselves against the Alfa Bank–connected actions, Fusion GPS and Orbis Business Intelligence, which both denied any wrongdoing, employed the same strategy that Simpson had used in 2013 when Frank VanderSloot, the Mitt Romney donor, came after him
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from both the Alfa Bank–connected oligarchs and the owner of the internet services companies. FROM A LEGAL PERSPECTIVE, the lawsuits against Fusion GPS, Orbis Business Intelligence, and BuzzFeed differed. At their core, they were connected by a common thread—the credibility of Christopher Steele’s reports. In the aftermath of the
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’ [sic] reporting on his private conversations,” Allason wrote. “There is no indication of the reliability of this individual.” AFTER ALLASON’S REPORT PUBLICLY emerged, Orbis Business Intelligence issued a statement dismissing it as a “politically motivated” piece of fiction and adding that Allason had no knowledge of Steele’s sources. But in
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Russian intelligence agents, having picked up reports that Steele was sniffing around about Trump, had assembled a computerized map showing the sources used by Orbis Business Intelligence. Then all Kremlin agents had to do was tap some of those people and drip disinformation into Steele’s network. Shane hadn’t written about
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percent. “I just don’t know which 50 percent,” he’d add dryly. When Van Niekerk met Steele, the lawsuit filed in London against Orbis Business Intelligence by the oligarchs who controlled Alfa Bank was moving forward and Steele was looking for ammunition. Hollingsworth had told him that Van Niekerk knew a
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had asked him to seek verification for the dossier but he had found “zero.” Steele was outraged by his depiction in the Horowitz report. Orbis Business Intelligence put out a statement saying the report contained “numerous inaccuracies and misleading statements” and minor changes were made to it. But those fixes were a
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Donald Trump—the scenario Scott Shane, the Times reporter, had painted at the Spy Museum. Russian intelligence operatives were likely monitoring the activities of Orbis Business Intelligence and Steele’s allegations about Michael Cohen’s trip to Prague could have been a plant, the report said. Steele was adamant that his memos
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. All those sued denied wrongdoing. The first case to reach trial was the lawsuit brought in London by the founders of Alfa Bank against Orbis Business Intelligence. It involved a dossier memo written by Christopher Steele in September 2016 that was titled “RUSSIA/US PRESIDENTIAL ELECTION: KREMLIN-ALPHA GROUP COOPERATION.” The memo
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. officials wasn’t at issue in the lawsuit because it wasn’t part of any dossier memos. Still, as litigation against Fusion GPS and Orbis Business Intelligence was under way, allies of Simpson and Steele were continuing to sell the story and the point person on that effort was Dan Jones, the
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’t believe there was anything behind the “pinging” story. “My belief at this point is that it is not true,” he said. TO SUE ORBIS BUSINESS Intelligence in London, the founders of Alfa Bank took advantage of the same British privacy laws that the anti-asbestos activists had used to bring their
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the growing pandemic, parts of the United States and Europe had shut down but Britain was late to do so and the case against Orbis Business Intelligence proceeded. When he took the witness stand, Christopher Steele quickly found himself under attack. The bank’s owners denied making payments to Vladimir Putin and
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of about $22,600 to each of two Alfa Bank–connected oligarchs mentioned in the memo. IN THE SUMMER OF 2020, Christopher Steele and Orbis Business Intelligence faced a second trial in London and this time the stakes were higher. At issue was another dossier memo the ex-spy had written just
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creator of the ifoundthepss blog wrote that he had initially suspected that Steele’s informant might be one of several young former analysts at Orbis Business Intelligence who had left the firm to start their own business. That guess hadn’t panned out but he then started looking at people who followed
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was employed went bankrupt and a mutual acquaintance introduced him to Christopher Steele. Danchenko told the FBI that Steele, who had then just started Orbis Business Intelligence, initially give him a small trial job to write a report about business risks in Eastern Europe. Steele “liked” his work and, afterward, Danchenko signed
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made it clear it was Gaeta. Steele would insist that he hadn’t agreed: Steele made that statement in a press release issued by Orbis Business Intelligence in December 2019, after the publication of the Horowitz report, and in which he criticized several aspects of the report. Among other things, he said
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the action.) Intelligence Online, published an article: The article about the hack of Mark Hollingsworth’s email was published on July 10, 2019, “London’s Business Intelligence Community Braces Itself for Imminent Leak.” The email’s subject line: The email was dated August 4, 2019. the Evening Standard: Mark Hollingsworth’s article
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Operation Hellenic, 26–28, 198 oppo (political opposition research), 63–69, 129–136, 181–183. See also Steele dossier; specific politicians Orban, Viktor, 179 Orbis Business Intelligence. See also Burrows, Christopher; Steele, Christopher background, 2–3, 12, 137 clients of, 152, 155–156, 296–297 Danchenko’s contract with, 265–266 Hollingsworth
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