MSB Analytics #visual #analytics #inc


MSB Analytics, Inc. is where Math, Science
and Business converge to solve problems





    MSB Analytics, Inc.

    MSB Analytics, Inc. specializes in Financial Management, Acquisition and Administrative Management, Engineering Services, Business Process Improvement, Information Technology Solutions and Visual Information, Multimedia Services and Training.

    who we are

    what we do

    who we serve

    what our
    customers say

    We provide high-quality, analysis-based, professional business
    and technical services to Government and commercial customers.

    Acquisition and Administrative Management

    MSB Analytics, Inc. employs only the most qualified, experienced, and skilled administrative professionals to meet our customer’s stated technical requirements.

    Visual Information, Multimedia Services Training

    We perform all tasks necessary for the professional production of print and digital media that allows our clients to visually communicate and put their best foot forward.

    Information Technology Solutions

    MSB Analytics, Inc. provides a wide variety of Information Technology Solutions including multimedia services, business process improvement, systems and network administration, web content management, and help desk support up to Level III.

    Financial Management

    MSB Analytics’ depth of certified, master’s-degreed financial and subject matter professionals result in more accurate and timely analysis of business transactions.

    Business Process Improvement / Training

    MSB Analytics, Inc. is a leader in providing comprehensive Business Process Improvement solutions, and skilled Human Resources services.

    Engineering Services

    MSB Analytics, Inc. maintains effective and constantly evolving technological advances is crucial to ensure the successful operation of our nation’s warfighter.

    Who we serve

    Strategic Alliances

  • Full-Time MBA – UC Davis Graduate School of Management #full-time, #mba, #uc #davis, #uc, #davis, #ca, #top-ranked, #graduate #school, #degree, #business #school, #job #placement, #research, #accounting, #business #analytics, #entrepreneurship, #finance, #management, #innovation, #marketing, #organizational #behavior, #strategy


    Full-Time MBA

    You are strongly encouraged to attend and do not need academic dress at rehearsal.

    Candidates will be briefed on the entire ceremony including walking through the processional and practicing hooding. Candidates will be more at ease on Saturday morning if they attend rehearsal.

    Hooders do not need to be present at rehearsal.


    Jackson Hall, Mondavi Center

    GSM Community Event

    New Alumni Welcome Celebration
    Gallagher Hall Foyer

    June 16, 2017 – 12:00pm – 1:30pm

    Graduating students please join us as we congratulate and welcome you into the GSM Alumni Association.

    Friday, June 16, 2017
    12:00 – 1:30 p.m. (immediately following Commencement Rehearsal)

    Gallagher Hall Foyer

    Appetizers will be served. This event is limited to graduating students, select staff, faculty, and GSMAA board members.

    GSM Commencement Ceremony
    Robert and Margarit Mondavi Center for the Performing Arts, UC Davis

    June 17, 2017 – 10:00am – 12:00pm Kat Taylor

    The Graduate School of Management will celebrate its 35 th Commencement on June 17. All graduating students are encouraged to participate.


    Saturday, June 17 at 10:00 a.m.
    Jackson Hall, Mondavi Center

    Analytics Solutions, Enterprise Analytics Solutions, Information Management Solutions #analytics #solutions, #analytics, #information #management, #enterprise #analytics #solutions, #analytics #information #management


    Organizations today need insights into markets, customers and their own internal proc​esses to stay ahead of competition and to deliver sustainable business performance. There is a need to go beyond the customary approaches to data. For quicker and better decisions, one must learn to cope with and build on the high volume and velocity of real-time structured and unstructured data i​n different formats. Leading Industry analysts have suggested that those who do this will outperform competition by 20% in every financial metric.

    How Wipro Helps

    Wipro’s Analytics Services have helped organizations like yours effectively combine deep industry knowledge, cutting edge mathematical and statistical methods, technology tools like SAS, SPSS and software environments like R to build an enterprise-wide analytics culture.

    With proven delivery methodologies, we help you :

    • Drive growth through
      • Deeper customer insights
      • Product/service innovation
    • Enhance cost management through
      • Optimized operations
      • Better financial performance analysis
    • Improve risk management through
      • Enhanced regulatory compliance
      • Internal risk and control

    We understand that information, insights and foresights impact every aspect of business. Analytics can help you predict customer behavior, meet their needs and cement long-term customer relationships.

    Our approach to Business Analytics is three-pronged. We help you:

    • Draw insights from past data
    • Respond in real time to current business needs
    • Use predictive analytics to stay ahead of the curve

    We leverage our KPI backwards approach, deep industry expertise and experience in handling complex analytics engagements, to deliver differentiation at the front and standardization at the core. Our solutions bring together the combined expertise of process, analytics and data to help you Do Business Better.

    Cloud monitoring #cloud #monitoring, #cloud #migration #tools, #cloud #performance #monitoring, #performance #management, #network #monitoring, #performance #monitoring, #infrastructure #monitoring, #application #monitoring, #application #performance, #application #analytics


    Cloud monitoring

    Cloud monitoring taken to the next level

    Dynatrace provides a complete picture of health of the entire cloud infrastructure. All your nodes, transactions, and users in one pane of glass: Whether you ve launched a new app in a public cloud or in your virtualized data center, we ve got you covered.

    • Get full visibility across all cloud and on-premise tiers, including OS-level and crucial network metrics.
    • Eliminate all blind spots. Detect issues with 3rd party services, load-balancers, hypervisor dynamics, disconnected hosts, or limited network visibility.
    • Leverage advanced root cause capabilities with an indication on end user impact.

    Plug-n-play for the modern cloud

    Whether you run in a public, private, or hybrid cloud, Dynatrace auto-detects and monitors cloud components and keeps up with any changes of the dynamic environments.

    • Maintain gap-free visibility of user transactions in modern cloud environments.
    • Auto-detect cloud applications and services on AWS, Microsoft Azure, Cloud Foundry, OpenStack, OpenShift, and more.
    • Gain complete insights across all cloud and on-premise tiers with a real-time map of dependencies between applications, services, processes, and cloud components

    Dynatrace seamlessly integrates with your cloud and container environments

    Start monitoring your cloud environments with Dynatrace today!

    Dynatrace has been built from the ground up with dynamic environments in mind

    Check out these resources to see why monitoring in the cloud means monitoring with Dynatrace

    Monitor private, public and hybrid cloud environments

    Dynatrace monitors the virtualized environments in private or public datacenters. Dynatrace cloud monitoring tools provide full transparency into your enterprise-cloud technologies including VMWare, KVM, Xen, or CenturyLink.

    • Track the performance of all virtualized components of your application.
    • Get full insights into the resource utilization of your virtualized environments.
    • Understand how your applications are deployed across cloud instances.

    Containers and microservices

    Dynatrace monitors the distributed applications that you deploy via containers across your hosts and cloud instances.

    Gain visibility into containers from the application perspective without touching your images or making special configurations.

    Benefits of Web Analytics and Website Feedback Tools #benefits #of #business #analytics


    The Benefits of Using Webreep Website Feedback Tool

    • Fix problems with your website before it’s too late. Less than 0.01% of customers will bother to contact you about a potential problem with their experience using your website. If sufficiently unhappy, they will simply defect to a competitor. If they are asked directly about their experience however, as many as 40% of customers will tell you exactly what they thought, giving you a chance to improve their satisfaction before it’s too late.
    • Identify which areas of improvement will have the biggest impact on sales. Website overhauls are not cheap, and can have serious implications on customer loyalty if done wrong. Webreep displays exactly which elements of your current design generate a positive customer experience, and which areas don’t, providing valuable guidance for upgrade investments.
    • Get rich insight into who is visiting your website. Traditional web analytic and website feedback tools tell you the number of hits you get each day, and from which country your visitors come from. What these tools don’t tell you are reasons why people are visiting, why they left, and how satisfied they were with their experience. The Webreep systems tells you this and more in an intuitive and easy to understand way from simple trends through to advanced reporting.
    • Make informed decisions based on concrete data. Take the guesswork out of forecasting and e-commerce growth strategy. Webreep provides real evidence in real time of current website performance based on what matters the most: customer satisfaction.
    • Track performance over time. Webreep enables you to track performance of key variables of your website over time (week/month/year) to enable you to track the success of promotional activities or the impact of seasonal fluctuations.
    • Make your website the star of your organization. Webreep website feedback tool enables you to set up view-only or admin accounts for other members of your organization to login and view website statistics. Webreep provides the whole company a sense of ownership of the company website, helping to move it from the bottom of the priority list to the top.
    • Reduce customer defection to competitors. If customers are unhappy enough, they will move their loyalty to your competitors. Webreep enables you to identify problems before they drive customers away.
    • Increase revenue. Webreep website feedback tool tracks key variables well established in academic research to have a direct link on revenue. Tracking and ensuring each variable is stable results in increased revenue through greater loyalty and higher rates of recommendation and referral.
    • Convert more traffic into purchasing customers. Increase conversion rates by identifying key barriers to purchase
    • Reduce shopping cart abandonment. Webreep website feedback tool enables you to understand why customers arrive to shop, but leave empty handed

    Hundreds of companies have trusted us to process more than a million customer interactions.

    Software devolopment #xoriant #solutions, #xoriant #corporation, #xoriant, #xoriant #accelerators, #product #development, #software #development, #product #engineering, #engineering #services, #financial #services, #enterprise #application, #social, #mobile, #analytics, #cloud, #iot, #big #data


    Innovation Engineered

    CreditDimensions is now Xoriant CDi

    Xoriant Debuts on Zinnov Product Engineering Rating

    Xoriant is a Silicon Valley based product engineering, software development and technology services firm with offices in the U.S. Europe and Asia. We deliver value across a range of industries in focus areas including Product Engineering, DevOps, Cloud Infrastructure & Security, Big Data & Analytics, Data Management & Governance, Digital and IoT. One of our key advantages? Our proven client commitment. More than half of our clients have been with us for five years or longer.

    Need to get solutions to market more quickly?
    Looking to improve decision making with data?
    Concerned about the security of your infrastructure?

    We are proud of the deep relationships we have built with our clients and we’re equally committed to our employees. The IT-BPM Council has named Xoriant one of the ‘Great Places to Work’ for two years running. It’s easy to see why. Our employees get to work with the most exciting next-generation technologies and grow their careers with some of the most innovative organizations in the world.

    Supply Chain Management Review #supply #chain, #supply #chain #24/7, #supply #chain #management, #global #logistics # #amp; #supply #chain #strategies, #global #supply #chain #media, #supply #chain #archives, #global #logistics, #free #magazine #subscription, #free #subscription, #automotive #logistics, #automotive #supply #chain, #high-tech #logistics, #high #tech #supply #chain, #food #logistics, #food #supply #chain, #retail #logistics, #retail #supply #chain, #cpg #logistics, #cpg #supply #chain, #pharmaceutical #supply #chain, #pharmaceutical #logistics, #healthcare #logistics, #healthcare #supply #chain, #chemical #logistics, #chemical #supply #chain, #aerospace #logistics, #aerospace #supply #chain, #defense #logistics, #defense #supply #chain, #apparel #logistics, #apparel #supply #chain, #logistics, #transportation, #distribution, #warehousing, #material #handling, #global #logistics, #third #party #logistics, #3pl, #inventory #planning #and #optimization, #transportation # # #distribution, #warehouse #logistics, #shipping, #cargo, #freight, #reverse #logistics, #ltl #services, #truckload #services, #dedicated #contract #carriage, #air #cargo, #ocean #transportation, #ocean #cargo, #rail, #intermodal, #service #parts #management, #facility #location #planning, #global #fulfillment # # #distribution, #express/small #shipments, #parcel #shipping, #asset #management, #business #intelligence # # #analytics, #business #process #management, #cloud/saas # # #on-demand #systems, #software #as #a #service, #collaboration #and #integration, #customer #relationship #management, #edi #communication #(xml/edi), #erp, #enterprise #systems, #event #management, #forecasting, #demand #planning, #global #trade #management, #manufacturing, #planning # # #execution #systems, #network #design, #order #fulfillment # # #purchase #order #management, #product #lifecycle #management, #rfid, #wireless #solutions, #voice #technology, #sales # # #operations #planning, #software #architecture # # #soa, #sourcing #and #procurement, #supplier #relationship #management, #supply #chain #finance #and #revenue #management, #supply #chain #planning #and #optimization, #supply #chain #visibility, #transportation #management #systems, #warehouse #management #systems, #transportation #management #solutions, #warehouse #management #solutions, #wms, #tms, #s #op, #plm, #srm, #global #supply #chain #management, #supply #chain #analysis # # #consulting, #hr # # #labor #management, #green #supply #chain #solutions, #sustainable #supply #chain #solutions, #sustainability, #supply #chain #security, #supply #chain #risk #management, #business #strategy #alignment, #humanitarian #logistics, #aberdeen #group, #gartner, #amr #research, #apqc, #arc #advisory #group, #technology #evaluation #centers, #software #advice, #chainlink #research, #tompkins #associates, #canada #logistics, #canada #supply #chain, #asia #logistics, #asia #supply #chain, #european #logistics, #europe #supply #chain, #latin #america #logistics, #latin #america #supply #chain, #middle #east #logistics, #middle #east #supply #chain, #foreign #trade #zones, #free #trade #zones, #supply #chain #solutions, #logistics #solutions, #supply #chain #services, #logistics #services, #supply #chain #information, #logistics #information, #supply #chain #education, #logistics #education, #supply #chain #magazine, #logistics #magazine, #supply #chain #web #site, #logistics #web #site, #where #supply #chain #management #and #logistics #management #stay #informed


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    Maersk Line has introduced a new service for supply chain managers seeking to finance their global trade while optimizing carrier service.

    Posted on 06/08 at 01:00 PM

    This announcement follows Scout’s release of Harvard Business Review Analytic Services procurement industry research, which explores the critical roles that sourcing, procurement, and supply chain management play in enterprise success.

    Posted on 06/07 at 10:46 AM

    The index ISM uses to measure non-manufacturing growth—known as the NMI—was 56.9 in May, down 0.6% from April’s 57.5, which was its highest level since February 2015, while still growing for the 89th consecutive month. The May NMI is 1% higher than the 12-month average of 55.9.

    Posted on 06/05 at 12:14 PM

    What is data analytics (DA)? Definition from #free #data #analytics


    data analytics (DA)

    Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.

    Download this free guide

    Brand New: An HR Analytics Essential Guide Collection

    Compiled exclusively for you from the articles in this guide, our resource digs into how HR analytics has pushed HR into a more active and involved voice in organizations’ planning and objectives. Gain ideas on using HR analytics to measure employee engagement and maximize your HR role.

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    As a term, data analytics predominantly refers to an assortment of applications, from basic business intelligence (BI), reporting and online analytical processing (OLAP ) to various forms of advanced analytics. In that sense, it’s similar in nature to business analytics. another umbrella term for approaches to analyzing data — with the difference that the latter is oriented to business uses, while data analytics has a broader focus. The expansive view of the term isn’t universal, though: In some cases, people use data analytics specifically to mean advanced analytics, treating BI as a separate category.

    Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals — all with the ultimate goal of boosting business performance. Depending on the particular application, the data that’s analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources.

    Types of data analytics applications

    At a high level, data analytics methodologies include exploratory data analysis (EDA), which aims to find patterns and relationships in data, and confirmatory data analysis (CDA), which applies statistical techniques to determine whether hypotheses about a data set are true or false. EDA is often compared to detective work, while CDA is akin to the work of a judge or jury during a court trial — a distinction first drawn by statistician John W. Tukey in his 1977 book Exploratory Data Analysis .

    Data analytics can also be separated into quantitative data analysis and qualitative data analysis. The former involves analysis of numerical data with quantifiable variables that can be compared or measured statistically. The qualitative approach is more interpretive — it focuses on understanding the content of non-numerical data like text, images, audio and video, including common phrases, themes and points of view.

    At the application level, BI and reporting provides business executives and other corporate workers with actionable information about key performance indicators. business operations, customers and more. In the past, data queries and reports typically were created for end users by BI developers working in IT or for a centralized BI team; now, organizations increasingly use self-service BI tools that let execs, business analysts and operational workers run their own ad hoc queries and build reports themselves.

    Consultant Claudia Imhoff on analytics-driven organizations

    More advanced types of data analytics include data mining. which involves sorting through large data sets to identify trends, patterns and relationships; predictive analytics. which seeks to predict customer behavior, equipment failures and other future events; and machine learning. an artificial intelligence technique that uses automated algorithms to churn through data sets more quickly than data scientists can do via conventional analytical modeling. Big data analytics applies data mining, predictive analytics and machine learning tools to sets of big data that often contain unstructured and semi-structured data. Text mining provides a means of analyzing documents, emails and other text-based content.

    Data analytics initiatives support a wide variety of business uses. For example, banks and credit card companies analyze withdrawal and spending patterns to prevent fraud and identity theft. E-commerce companies and marketing services providers do clickstream analysis to identify website visitors who are more likely to buy a particular product or service based on navigation and page-viewing patterns. Mobile network operators examine customer data to forecast churn so they can take steps to prevent defections to business rivals; to boost customer relationship management efforts, they and other companies also engage in CRM analytics to segment customers for marketing campaigns and equip call center workers with up-to-date information about callers. Healthcare organizations mine patient data to evaluate the effectiveness of treatments for cancer and other diseases.

    Inside the data analytics process

    Data analytics applications involve more than just analyzing data. Particularly on advanced analytics projects, much of the required work takes place upfront, in collecting, integrating and preparing data and then developing, testing and revising analytical models to ensure that they produce accurate results. In addition to data scientists and other data analysts, analytics teams often include data engineers. whose job is to help get data sets ready for analysis.

    The analytics process starts with data collection, in which data scientists identify the information they need for a particular analytics application and then work on their own or with data engineers and IT staffers to assemble it for use. Data from different source systems may need to be combined via data integration routines, transformed into a common format and loaded into an analytics system, such as a Hadoop cluster. NoSQL database or data warehouse. In other cases, the collection process may consist of pulling a relevant subset out of a stream of raw data that flows into, say, Hadoop and moving it to a separate partition in the system so it can be analyzed without affecting the overall data set.

    Once the data that’s needed is in place, the next step is to find and fix data quality problems that could affect the accuracy of analytics applications. That includes running data profiling and data cleansing jobs to make sure that the information in a data set is consistent and that errors and duplicate entries are eliminated. Additional data preparation work is then done to manipulate and organize the data for the planned analytics use, and data governance policies are applied to ensure that the data hews to corporate standards and is being used properly.

    At that point, the data analytics work begins in earnest. A data scientist builds an analytical model, using predictive modeling tools or other analytics software and programming languages such as Python, Scala, R and SQL. The model is initially run against a partial data set to test its accuracy; typically, it’s then revised and tested again, a process known as training the model that continues until it functions as intended. Finally, the model is run in production mode against the full data set, something that can be done once to address a specific information need or on an ongoing basis as the data is updated.

    In some cases, analytics applications can be set to automatically trigger business actions — for example, stock trades by a financial services firm. Otherwise, the last step in the data analytics process is communicating the results generated by analytical models to business executives and other end users to aid in their decision-making. That usually is done with the help of data visualization techniques, which analytics teams use to create charts and other infographics designed to make their findings easier to understand. Data visualizations often are incorporated into BI dashboard applications that display data on a single screen and can be updated in real time as new information becomes available.

    This was last updated in December 2016

    Next Steps

    Consultant David Loshin explains what big data analytics tools can do for companies

    Corporate lawyers increasingly play a role in customer data analytics programs

    Top Business Intelligence Tools – 2017 Reviews & Pricing #business #intelligence #and #analytics #software


    Business Intelligence Tools

    What Is the FrontRunners Quadrant?

    A Graphic of the Top-Performing BI Products

    FrontRunners quadrants highlight the top software products for North American small businesses. All products in the quadrant are top performers. Small businesses can use FrontRunners to make more informed decisions about what software is right for them.

    To create this quadrant, we evaluated over 200 BI products. Those with the top scores for their capability and value made the quadrant.

    Scores are based largely on reviews from real software users, along with other product performance details (e.g. what features they offer, how many customers they have).

    Is One Quadrant Better Than the Others?

    Nope, Products in Any Quadrant May Fit Your Needs

    Every product in this quadrant offers a balance of capability (how much the products can do) and value (whether they re worth their cost) that makes them stand out in the race for small business software success. Moreover, we ve homed in on products that offer the right set of capabilities for this market.

    FrontRunners has four sub-quadrants:

    • Upper Right = Leaders: Leaders are all-around strong products. They offer a wide range of functionality to a wide range of customers. These products are considered highly valuable by customers.
    • Upper Left = Masters: Masters may focus more heavily on certain key features or market segments than Leaders do. If you need a more specialized set of functionality without bells and whistles, then a product in the Masters quadrant might be right for you.
    • Lower Right = Pacesetters: Pacesetters may offer a strong set of features, but are not rated as highly on value. For example, a Pacesetter might offer greater functionality, but cost more.
    • Lower Left = Contenders: Contenders may focus on a more specialized set of capabilities that are priced at a higher point. This makes them ideal for companies willing to pay more for specific features that meet their unique needs.

    Depending on the specific needs of a software buyer, a product in any of these sub-quadrants could be a good fit.

    Why? To even be considered for this FrontRunners, a product had to achieve a minimum user rating score of 3.8 for capability and 3.8 for value. This means that all products that qualify as FrontRunners are top-performing products in their market. Their positions in the quadrant are plotted relative to how their peers performed.

    For some buyers, a specific FrontRunners quadrant might be best. For example, products in the leaders quadrant have very high ratings for both product capabilities and value provided to users. However, these products may use licensing schemes that are more expensive for small businesses than dashboard-focused vendors in the contenders and pacesetters quadrants, even though contenders and pacesetters such as Domo and Birst offer comparable functionality.

    You can download the full FrontRunners for BI report here. It contains individual scorecards for each product on the Frontrunners quadrant.

    How Are FrontRunners Products Selected?

    Products Are Scored Based on User Reviews and Other Data

    You can find the full FrontRunners methodology here. but the gist is that products are scored in two areas, Capability and Value.

    To be considered at all, products must have at least 10 reviews and achieve minimum user rating scores. They also have to offer a core set of functionality for example, self-service visual analytics and custom dashboards.

    From there, user reviews and other product performance details, such as the product’s customer base and the features it offers, dictate the Capability and Value scores. Capability is plotted on the x-axis, and Value is plotted on the y-axis.

    Got It. But What if I Have More Questions?

    Check Out Our Additional Resources!

    For more information about FrontRunners, check out the following:

    • Check out the FrontRunners frequently asked questions (FAQ) for more detailed answers and information about how it works.
    • Check out the complete FrontRunners methodology to understand the scoring.

    Have questions about how to choose the right product for you? You re in luck! Every day, our team of advisors provides (free) customized shortlists of products to hundreds of small businesses.

    • Simply take this short questionnaire to help us match you with products that meet your specific needs.
    • Or, talk to one of our experienced software advisors about your needs it s quick, free, and there s no-obligation by calling (844) 687-6771.

    One Last Thing How Do I Reference FrontRunners?

    Just Follow Our External Usage Guidelines

    Check out the FrontRunners External Usage Guidelines when referencing FrontRunners content. Except in digital media with character limitations, the following disclaimer MUST appear with any/all FrontRunners reference(s) and graphic use:

    FrontRunners scores and graphics are derived from individual end-user reviews based on their own experiences, vendor-supplied information and publicly available product information; they do not represent the views of Gartner or its affiliates.

    Runners Up

    Providers listed as Runners Up were considered for inclusion in the quadrant, but were ultimately not included for one or more reasons: they did not have enough reviews; they did not meet the reviews score minimum; they did not meet the ultimate Value and Capability minimum scores; or they did not meet our functionality requirements for the market.

    Business intelligence (BI) software has gained considerable traction since its introduction as “decision support systems” in the 1960s. Today, there are over 100 BI software companies selling some type of business intelligence tool. We put together this buyer’s guide to help buyers understand the market. In this guide, we’ll review:

    What Is Business Intelligence Software?

    BI software helps organizations organize and analyze data to make better decisions. This could include internal data from company departments as well as from external sources, such as marketing data services, social media channels or even macroeconomic information.

    The BI market is growing rapidly because of the proliferation of data to analyze. Over the past few decades, companies that have deployed Enterprise Resource Planning (ERP). Customer Relationship Management (CRM) and other applications are now sitting on a mountain of data that can be analyzed. In addition, the growth of the Web has increased the demand for tools that can analyze large data sets.

    One of the biggest trends in the BI market is the shift in software architecture and design to more user-friendly applications. These applications are now being used by business users not just IT staff to analyze particular sets of departmental data, including marketing, procurement, retail and Web data.

    Common Features of Business Intelligence Software

    BI software can be divided into three broad application categories: data management tools, data discovery applications and reporting tools (including dashboards and visualization software). In the next section, we’ll explain how these applications can help your organization’s decision-making process become more data-driven.

    What BI tools you need depends on how your data is currently managed and how you would like to analyze it. For example, if it is currently scattered across disparate transactional databases, you might need to build a data warehouse to centralize it and invest in data management tools that offer Extract, Transform and Load (ETL) functionality to move and re-structure it.

    Once data is given a common structure and format, you can invest in data discovery solutions such as Online Analytical Processing (OLAP), data mining and semantic or text mining applications, with the capability to create custom, ad hoc reports. And because information is stored within the warehouse, users can quickly pull reports without impacting the performance of the organization s software applications, such as CRM, ERP and supply chain management solutions.

    We ve illustrated this concept in the image below:

    But this isn t the only way to implement BI within your organization. If you re only analyzing data from a single source, ETL and data warehouses are unnecessary. Alternatively, you might require multiple warehouses, and thus, require different tools to connect data between both these servers and other BI applications that need access to this data.

    We’ll cover these in detail in the next section, but in general, the features you should seek in a new BI solution should include:

    • Data quality management
    • Extract, transform and load (ETL)
    • Data mining
    • Online analytical processing (OLAP)
    • Predictive analytics
    • Semantic and text analytics
    • Visualizations
    • Dashboards
    • Report writers
    • Scorecarding

    Top Business Intelligence Tools

    This table will help you understand some of the top BI tools available on the market today.

    BI Tools Comparison