6 items tagged "business intelligence software"

  • Contracten BI software leveranciers leiden tot onvrede bij CIO's

    Contracten BI software leveranciers leiden tot onvrede bij CIO's

    CIO's van Nederlandse bedrijven klagen over 'wurgcontracten' met grote softwareleveranciers, waardoor bedrijven naar eigen zeggen steeds meer moeten betalen voor hetzelfde product doordat de leveranciers eenzijdig de spelregels veranderen.

    De onvrede blijkt uit een enquête van het CIO Platform onder 125 CIO's van grote Nederlandse bedrijven als ABN Amro, KLM, de Belastingdienst en Akzo Nobel. Er wordt vooral geklaagd over tussentijdse eenzijdige aanpassingen in de licentieovereenkomsten. Het rumoer is niet nieuw: CIO.nl schrijft al jarenlang over de problemen met licentieovereenkomsten van grote softwarebedrijven. Met name Oracle wordt vaak genoemd als boosdoener.

    De uitkomsten van het onderzoek van het CIO Platform was voor het Financieele Dagblad aanleiding om dieper in de zaak te duiken. Veel van de betrokken CIO's wilden alleen anoniem hun verhaal doen aan het FD, zo blijkt. Wel wordt Raimond Voermans, de CIO van slachtmachinebouwer Marel, geciteerd. Hij zegt dat IT-bedrijven hun positie misbruiken door elk jaar wel 'iets' te vinden dat de prijs omhoog brengt.

    Richard Spithoven, tegenwoordig werkzaam bij licentie-adviseur B-Lay, die wel vaker aan het woord komt bij CIO.nl, doet als ex-manager van Oracle een boekje open over de licentiepraktijken bij zijn vroegere werkgever. Hij noemt het 'een verdienmodel'; de inkomsten uit software-audits en navolgende naheffingen maken soms tot 70% van de omzet uit, stelt hij.

    De wurggreep van de softwarebedrijven is zo groot, dat het haast ondoenlijk is de software de deur uit te werken. 'De meeste bedrijven zouden van dit soort leveranciers af willen, maar je afhankelijkheid is doorgaans zo groot dat het in de praktijk onmogelijk is', zo citeert de krant voorzitter Arthur Govaert van het CIO Platform.

    De CIO's komen nu in de openbaarheid omdat jarenlange gesprekken met de softwareleveranciers niets opleveren. Het CIO Platform heeft zich met een klacht gemeld bij de Eurocommissaris voor Mededinging Margrethe Vestager.

    Auteur: René Schoemaker

    Bron: CIO

  • Gartner Magic Quadrant: Tableau opnieuw leider in Analytics en BI patforms

    Gartner Magic Quadrant: Tableau opnieuw leider in Analytics en BI patforms

    Tableau is opnieuw door Gartner benoemd als leider in het Magic Quadrant voor Analytics en Business Intelligence Platforms. Dit is het achtste opeenvolgende jaar waarin Tableau als leider wordt erkend in dit Magic Quadrant.

    In een tijd van stevige groei, marktevolutie en verhoogde klantverwachtingen, is Tableau opgeschaald met klantgerichte innovatie en platformuitbreiding om te voldoen aan de behoeften van datagestuurde ondernemingen.

    Tableau is in het Magic Quadrant de naaste concurrent van Microsoft en heeft een goede staat van dienst als het gaat om interactieve data-exploratie en visualisatie. Tableau, dat tegenwoordig eigendom is van Salesforce, heeft haar aanbod in 2019 versterkt met data preparation, een natural language interface voor het stellen van vragen, toevoeging van AI-onderdelen en ondersteuning voor serveromgevingen.

    Het rapport van Tableau kun je hier vinden.

    Bron: BI-platform

  • How to Buy Business Intelligence Software

    When someone mentions Business Intelligence (BI), it’s possible that they’re referring to a number of different things. Generally, BI is a broad umbrella term that refers to software applications that are used to analyze raw data. Functions can include data mining, online analytical processing, querying and reporting.
     
    Most importantly, BI tools can help improve your decision making, cut costs and identify new business opportunities. When companies are looking for a way to improve their reports, BI is the way to go.
     
    The problem is, with so many different software options available and every company using BI to fill a slightly different need, you need a way to really figure out how to buy the best BI system for your company.
     
    We interviewed representatives from three different companies to get their perspectives on the importance of business intelligence, how to find the right software and what factors to consider when making the decision.
     
    Why Do You Need BI?
    Let’s start with a bit of background on the evolution of the landscape of business intelligence software. As analytics have gotten more complex and data sets have gotten larger, companies have become far more reliant on their IT department to run complex reports that require training to complete. Because of this, a bottleneck begins to occur as the need for analysis starts to exceed the speed at which they can be completed.
     
    For growing SaaS companies, this problem is even more critical because most cannot afford a large IT department but still need the same level of analysis to track their metrics. The rise of business intelligence tools as a method of “democratizing information access” has given sales reps and analysts the ability to analyze data themselves. This allows anyone within the company to use numbers rather than just theories, to back up business reports and decisions.
     
    “The Business Intelligence and Analytics market is in the final stages of a multiyear shift from IT-led, system-of-record reporting to pervasive, business-led, self-service analytics. Organizations will continue to transition to easy-to-use, fast, agile, and trusted modern BI&A platforms deployed across the enterprise to create business value from deeper insights into diverse data sources.”
    —Rita Sallam, Research VP, Gartner
     
    As a group that is willing to embrace any tool that helps them do their job better, the next group of BI users are salespeople.
     
    How Do you know you’re ready for BI?
    Investing in a BI software is a big commitment, both monetarily and time-wise to train your reps to use the software. Before you start looking into what software to buy, you should be sure that your standard analytics software has reached these thresholds and is no longer powerful enough to give you the insights you need.
     
    For Catalant, a marketplace that connects businesses with independent experts around the world, a combination of factors convinced them that it was time to invest in a BI solution. Jack Montgomery, Head of Sales Ops at Catalant, spoke to us about how Catalant reached a point where they wanted to scale the team and grow the business, and they wanted a reporting tool that would help rapidly onboard salespeople and act as an engine of scalable growth.
     
    “I think the biggest challenge for someone who is running an organization that is growing rapidly, is the requests for analytics start coming in hot and fast. If you’re not building for scalability in terms of automated reporting instead of building in Excel, you’re setting yourself up for a lot of trouble.”
    –Jack Montgomery, Head of Sales Ops, Catalant
     
    Depending on how your company is structured, reaching any of these thresholds may be enough to warrant the need to consider a BI solution:
    • IT has become a bottleneck. You should not be limited by the speed at which your technicians can run analysis. If your reps find themselves waiting on reports to come through because your current solution requires a lot of IT expertise to use, it’s time to look for a faster solution that everyone can use.
    • You have too much data, but not enough information. Your analytics should be taking advantage of every aspect of the data you’re gathering to give you a full view of your company. If you find that you’re monitoring and gathering tons of data, but that you don’t know how to make sense of it or aren’t using it to find out what improvements are needed, you should be upgrading to a system that can make use of all your data.
    • You have data coming in from multiple sources, but joining them is a pain. It’s likely that you have more than one source of data input, depending on how your company is set up. Your analytics software should easily pool this data into one location and convert it into a format that’s ready for analysis. If you find yourself dreading joining data from different sources and wasting lots of time finding ways to do so, it’s time to upgrade.
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    • You’re wasting time modifying your software to prepare reports, rather than actually planning for the future. Your analytics software should be able to put together the reports you need to answer your business questions without much need for modification or programming. If you find yourself trying to create the reports you need instead of actually conducting the analysis, you should find a software that provides the reports you need.
    • Your competition always seems to be one step ahead and you can’t figure out why. In the competitive world of SaaS, if you start falling even a little bit behind, you’ll find that you’ll also start losing potential customers to competitors. If you start noticing that you can’t seem to scale fast enough to keep up, the right BI software can give you that edge to stay competitive.
    How Do You Find the Right BI Software?
    When looking for new software, the first thing that Brian Hernandez, Business Operations Manager at web and mobile analytics platform Amplitude does is to define his requirements.
     
    “I think about what problems we’re trying to solve and then put these together in a rank order in terms of what is most important in terms of capability. Once you develop the high level requirements, then you can go out and research what companies are doing this type of work.”
    –Brian Hernandez, Business Operations Manager, Amplitude
     
    The most important thing going into finding the right BI software is to have a plan. Every company will need BI for a different reason and will have a different use for it, but it’s crucial that you first have a full understanding of what business processes you hope to improve before you even begin your search.
     
    There are a couple things to consider when deciding what you want your BI system to do and how it can help improve your company:
    • Choose a business process that has a direct impact on revenue. You want to make sure you’re making an investment that will have direct returns. This process should also be standardized across the company so as to have the most impact.
    • Determine how you want information presented. Ultimately you want to present information in a way that your execs can use to easily facilitate confident and rapid decision making. Analyze how your company makes decisions and how you want information collected, analyzed and published to determine what sort of reporting to look for.
    • Make sure there’s a good onboarding process. Just as much as the BI system needs to fit your company, your team also needs to be properly and effectively trained in how to use it. Make sure to avoid any user resistance with an onboarding process that gives a thorough look into the software.
    How Do You Conduct the Evaluation?
    Now that you’ve got your high-level requirements and the problems you’re looking to solve, you need to start collating, then whittling down your list of potential software. It’s likely that as soon as you start your search, you’ll be quickly bombarded by marketing teams trying to reel you into buying their product. By keeping your goals front-of-mind and following these steps, you’ll be sure you’re making the best choice for the company and not just jumping at the best deal.
     
    Step 1: Collate A List of Possibilities By Use Case
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    To start putting together a list of potential software, you should be making your choices based on the use case each tool is best fit to address.
     
    Of course, it’s important to keep in mind that as your BI tool becomes more integral to your company, it will likely start addressing more than one use case so you should also be looking for BI product suites that support combinations of different BI styles.
    • Use Case: Quick Guided Analysis. This type of software is for the companies that want to give sales reps and analysts the ability to create recurring snapshots of performance without needing to constantly bug a developer every time a report is due. Some software may even allow for limited exploration of the data to do a bit of further analysis. However this software is limited by the need for a consistent set of accurate data, and end users can’t create their own data visualizations or bring in more data sources without the help of a developer.
    • Use Case: Guided Analysis with Integration. Similar to the previous case, this software also requires a consistent set of accurate data, but now comes packaged with the ability to integrate with multiple data sources or enterprise operations systems. This allows your team to use this BI system in tandem with other tools they may already be familiar with and comfortable using.
    • Use Case: Self-Service Analysis and Personalized Reports. This is the most flexible and powerful use case, but also requires your end users to be fairly self-sufficient. Users have the ability to bring in data from any source, do intensive data exploration and create advanced visualizations but require the proper training to fully utilize all the possibilities available to them.
    slate-diagram-n0xn84ou6d86vaihseptqzcuwvi2un79cqg4v40akm.png-900x266
     
    Step 2: Whittle Down Your List Based on Features And Functions
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    With your list of potential software in hand, it’s time to start narrowing it down to the choices that not only fit your use case, but also offer the specific features and functions you’re looking for. For Catalant, real-time visibility was one of their deciding factors.
     
    “I think the key to having an effective sales strategy and the sales analytics to support that is having close to, if not real time visibility into the performance of your salespeople. Having this insight into the health of your funnel and into your performance across different segments will keep your company ahead.”
    –Jack Montgomery, Head of Sales Ops, Catalant
     
    You can simplify the process of narrowing down your list by classifying each feature or function of interest as “must-have”, “nice-to-have” or “will-not-use”.
    • Must-have: This classification is very black or white. If a software doesn’t have this feature, then it’s immediately eliminated. Examples include: various data sources, web-based client user interface, dynamic in-memory connection to database.
    • Nice-to-have: These are the features that will set apart the good options from the great ones. They will help you tip the scales in favor of one option or another. Examples include: context-based filters, social interaction, performance monitoring.
    • Will-not-use: Often, the BI software you’re looking at will have a long list of features that you may never use. These can be ignored during your evaluation. Sometimes, too many features in this category may even make a software less attractive if you will find yourself cherry-picking the useful parts of a software.
    Step 3: Make Your Choice Only After First Using The Product
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    Even if you think you’ve found the perfect product, you should never make a purchase without first using the product. Ask for a demo or free trial version that you can use to get a feel for how the software works. This way you can have your sales teams use the product and get input from the people who will actually use it.
     
    For Amplitude, free trials really make products stand out during the evaluation process.
     
    “Sales cycles have been really quick for vendors that have been able to demonstrate value on our real data, as opposed to working out of a sandbox or dummy data,” says Hernandez, “We really appreciate when the company has minimized the time it takes for us to realize the value of their offer.”
    –Brian Hernandez, Business Operations Manager, Amplitude
     
    As a BI tool themselves, Clearbit has discovered the power of free product marketing.
     
    “We give free trials for everything we offer,” says Sornson, “This gives customers a chance to really use the product.”
    –Matt Sornson, Growth Manager, Clearbit
     
    The Right Software Can Make All the Difference
    For a company like Catalant, switching to a BI tool allowed them to focus on actually analyzing the data they were collecting, rather than wasting time trying to put together the reports.
     
    “When I think about how difficult it would be to do the things I can do with Slate in say, Excel, it’s mind blowing. It would normally take me probably two hours a week to marry our Salesforce data with non-Salesforce source data in Excel. With Slate, I can set it up once and have it run on a recurring basis whenever I need it.”
    –Jack Montgomery, Head of Sales Ops, Catalant
     
    Now that you have your BI software, it’s important to keep in mind that it won’t just magically fix all of your problems. In fact, you’ve only just taken the first step. Make sure that you’re implementing it correctly and taking the time to sufficiently train your end users so that everyone can realize the full value of your investment.
     
    Source: business2community.com, December 16, 2016
  • Kwaliteit MicroStrategy benadrukt in BI Survey 19

    Kwaliteit MicroStrategy benadrukt in BI Survey 19

    94 procent van de respondenten beveelt MicroStrategy aan in de onafhankelijke BI Survey 19. Onder meer op het gebied van self-service, visuele analyses en locatie-inzichten scoort de zakelijke analytics en mobility software van het bedrijf hoog.

    De BI Survey 19 is het grootste onafhankelijke wereldwijde onderzoek in de BI-markt en wordt uitgevoerd door het Business Application Research Center (BARC). Het onderzoek vergelijkt 36 populaire business intelligence (BI) tools op 34 key performance indicators (KPI's).


    Resultaten

    Enkele resultaten uit het onderzoek:
    • MicroStrategy behaalt in het onderzoek voor zowel self-service, visuele analyses als locatie-inzichten de hoogste score van de onderzochte platformen.
    • Het bedrijf wordt als leider aangemerkt op het gebied van business value, voordelen voor de business, mobiele BI, innovatie, functionaliteit, dashboards, query prestaties en distributie van rapporten.
    • 94% van de respondenten beveelt MicroStrategy aan.
    • 97% van de respondenten beoordeelt MicroStrategy als uitstekend, goed of voldoende wat betreft ondersteuning van ad-hoc query’s.
    • Het overgrote merendeel van de respondenten kiest MicroStrategy voor het ondersteunen van grote groepen gebruikers en voldoen aan specifieke BI-behoeften.



    MicroStrategy ondersteunt transformatie Scout24

    Eén van de klanten die het MicroStrategy platform inzet is Scout24, aanbieder van digitale marktplaatsen voor zowel vastgoed als auto's in Nederland, Duitsland en andere Europese landen. Het data-gedreven transformatieproject van Scout24, waarin het MicroStrategy platform een cruciale rol speelt, is eind 2018 bekroond met de BARC Best Practice Award.

    'Scout24 zet MicroStrategy in om een datagedreven cultuur te ondersteunen. Het platform stelt onze gebruikers in staat beslissingen te maken op basis van data en de impact op cruciale KPI's te voorspellen. MicroStrategy ondersteunt ons bij het digitaal transformeren van onze volledige organisatie, inclusief data literacy. De helft van onze 1.500 Europese werknemers maken gebruik van en halen winst uit ons cloud gebaseerde data analytics platform dankzij het gebruiksgemak en flexibiliteit', licht Dr. Markus Schmidberger, Director of Data Technology bij Scout24, toe.  

    2.477 respondenten zijn voor de BI Survey 19 ondervraagd. Het onderzoek is uitgevoerd tussen maart 2019 en juni 2019.

    Bron: BI-platform

  • Nieuwe API manager uitgebracht door InterSystems

    Nieuwe API manager uitgebracht door InterSystems

    InterSystems heeft de nieuwe functie InterSystems API Manager geïntroduceerd in InterSystems IRIS Data Platform 2019.2. Met deze tool kunnen gebruikers verkeer van en naar webgebaseerde API's binnen hun IT-infrastructuur bewaken en beheren.

    Het aantal API-implementaties stijgt in verschillende sectoren naarmate meer bedrijven service-oriented applicatielagen bouwen. Naarmate dit aantal groeit, worden softwareomgevingen meer gedistribueerd, waardoor het van cruciaal belang is dat API-verkeer goed wordt beheerd en bewaakt. InterSystems API Manager biedt gebruiksgemak door ontwikkelaars in staat te stellen al het verkeer door een gecentraliseerde gateway te leiden en verzoeken door te sturen naar de juiste target nodes. Ontwikkelaars die API Manager van InterSystems gebruiken, kunnen ook:

    • al het API-verkeer op een centrale locatie monitoren, zodat gebruikers problemen kunnen identificeren en oplossen;
    • API-verkeer controleren door de doorvoer te beperken, toegestane payload-groottes te configureren, IP-adressen op de witte lijst of zwarte lijst te zetten;
    • interne en externe ontwikkelaars interactieve API-documentatie bieden via een speciale en aanpasbare ontwikkelaarsportal; en
    • API's op één centrale plaats veilig stellen.

    'Ontwikkelaars gebruiken en implementeren nieuwe API's razendsnel om te voldoen aan de eisen van digitale transformatie, en ze hebben een intuïtieve managementoplossing nodig om hun succes mogelijk te maken', zegt Scott Gnau, hoofd van InterSystems Data Platforms. 'We zijn verheugd om klanten van het InterSystems IRIS-dataplatform API-beheermogelijkheden te bieden die zorgen voor naadloze integratie en snelle implementatie'.

    InterSystems API Manager is eenvoudig te configureren via een intuïtieve, webgebaseerde gebruikersinterface of via API calls, waardoor het een eenvoudig hulpmiddel is voor externe implementaties. InterSystems API Manager wordt vrijgegeven als een container om een gemakkelijke acceptatie mogelijk te maken. Ontwikkelaars kunnen ook een InterSystems API Manager-cluster configureren dat uit meerdere knooppunten bestaat om de doorvoercapaciteit te schalen en latency laag te houden.

    Bron: BI-platform

  • Why flexibility is key to keep up with developments in BI software

    Why flexibility is key to keep up with developments in BI software

    In modern business, the proliferation of enterprise digital applications—analytics included—is accelerating their ongoing journeys toward cloud infrastructure adoption. The change is driven by companies’ growing need for a greater number and variety of users to access those applications. But repeatedly introducing new applications to meet business and user needs may not be the best bet.

    On a given day, a person will use more than 20 software applications—be they cloud-based, enterprise, or desktop—O’Reilly reports. Although analytics is increasingly critical to decision-making at all levels of the organization, business leaders risk further dividing users’ attention with new analytics applications.

    Still, employees expect all the capabilities they need at their fingertips. If senior leaders ask them to make a decision as part of their responsibilities, those same leaders must provide a streamlined way for those employees to access the insights they need to make that decision a good one.

    Analytics designed with this flexibility in mind makes this possible. These applications integrate analytics access into existing employee applications and workflows. As Forrester describes, “In the future, BI [i.e., analytics] will enable business users to turn insights into actions without having to leave whatever business or productivity application they have open.” Adaptive analytics environments of this kind allow classic analytics experiences to blend seamlessly with relevant tasks and processes, enhancing corresponding decision making for their users.

    The Problems With Existing Data Ecosystems

    Although most workers still lack access to powerful analytics, many more struggle to leverage analytics within their existing, business-critical workflows. Instead, organizations’ existing data ecosystems are separated within different environments, where individual teams each have their own silos to which they have grown accustomed. This makes it difficult to standardize data access, let alone have individual team members prioritize and use approved analytics resources.

    In lieu of data literacy training and self-service analytics capabilities, workers have had to rely on IT or data wranglers to retrieve the right data for them. Requesting data in this way is often a tedious, drawn-out process that many workers simply avoid. “If it takes four months to get data to support a decision, then the opportunity is lost,” Forbes describes in their article on 2021 analytics trends. “For the business to drive critical outcomes and opportunities quickly, data needs to be available quickly.”

    Make Analytics—Not Users—Adapt

    The future of successful analytics is an adaptive environment that can adjust to a constantly evolving and improving business decision lifecycle. Adaptive analytics of this kind is platform-agnostic and scalable; it can be deployed in any scenario and across on-premises, cloud, or hybrid environments. 

    Since adaptive analytics is cloud-based and flexible, integrating and evolving with a wide variety of digital tools, it future-proofs organizations from missing these opportunities. And while many companies cannot give up on on-premises data sources, advanced analytics of this kind allow them to harness the power of their legacy data stores and provide a bridge from the cloud.

    Most importantly, employees won’t have to change their best practices and existing workflows to leverage the latest, greatest analytics capabilities as they arrive. With embedded analytics, users can “‘make analytics calls’ [to databases] on-demand on a massively big scale and uncover previously hidden patterns and correlations,” as Forbes explains in another article. This solves the core problem many business leaders overlook: Workers don’t want new digital tools, per se; they want answers to their questions and support for their everyday responsibilities. 

    Hyperconvergence Is Key

    Simply put, business leaders must remove the barrier between business users and analytics accessibility—not by swinging open the doors to analytics tools but by strategically integrating analytics into business users’ existing workflows through hyperconvergence:

    “Hyperconverged data analytics is still big data analytics, but it is highly scalable, increasingly intelligent data analytics that has been unified with other core data tools and data functions, while it is also dovetailed with other business tools and business functions.”

    Forbes, “How Data Analytics Became Hyperconverged,” May 27, 2021

    Instead of forcing business users to engage in the tedious process of requesting data from data scientists, those data scientists can connect analytics resources to other business-critical application libraries, APIs, or workflows. In this way, data teams can “operationalize” analytics for business users without forcing them to learn entirely new applications. Analytics finds its place at each company’s operational center, within the same applications workers use every day. 

    As advanced analytics tools evolve, data scientists can enhance capabilities within those business-critical applications as well. For example, natural language processing (NLP) within those applications allows users to seamlessly retrieve insights from data—without technical analytics knowledge and without leaving their preferred application environment. Analytics may use AI to anticipate user behaviors within those application environments as well and then make recommendations based on any variety of available data.

    Start Turning Analytics Into People Power

    According to Forbes’ aforementioned article on 2021 analytics trends, “[2021] will be the year we see the influence of the business user have a major impact on data and analytics, driven by the need to adapt quickly to the next round of changes caused by the pandemic and the economy.” Indeed, flexibility will be critical to the longevity of analytics investments, the ubiquity of adoption, the success of business decision-making, and the realization of ROI.

    Flexibility in analytics also means the technology adapts to—and drives value within—the cultural norms and decision workflows within the organization, helping employees to improve rather than dramatically change how they work, collaborate, and improve. It’s the organizations that prioritize the data needs of their business users who will be most successful in the years to come.

    Author: Omri Kohl

    Source: Pyramid Analytics

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