ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

10 Big Business Intelligence Trends of the Near Future

Updated on March 8, 2013

In the past, BI was used mainly by company executives, providing them with monthly/yearly reports on various aspects of the company. While BI is still a vital piece of the planning and decision making process, this idea of "traditional BI" is quickly fading. As the workforce becomes more mobile, BI is moving outside the confines of the office. Modern business leaders demand real-time BI that's always accessible-from anywhere at any time using any device. They demand BI that gets the right information into the right hands precisely when it's needed.

What BI trends will be commonplace in the next few years? Here's a list of 10 trends that we can expect to see in the next few years:

1. Self service BI
End users are tired of waiting on the IT department to deliver the BI applications they need. End users are now bypassing the IT department altogether to get what they want. To stop users from using outside services, IT departments will have no choice but to deliver self-service BI options that let users create the BI applications they require. This process either involves giving users the development tools to create their own applications, or simply creating a variety of canned reports for end users.

2. Cloud BI
Most analysts and researchers seem to agree on one point: The cloud is the future, even though current adoption is slow. Business Intelligence on the cloud promises near 100% uptime and scalability without all the time and money required to maintain in-house hardware. However, security is still a big concern for many companies, who don't trust cloud providers with their private data. As a result, I believe we'll see a rise in private cloud BI deployments.

3. Collaborative BI
As we learned from the rise of social media, the internet is the perfect collaboration platform. This concept translates seamlessly to Business Intelligence. For example, what if you could add comments and interact with other co-workers directly within a BI application? What if you could share ideas or point out interesting trends found in the data? This will soon be a reality, as collaboration options will quickly become default features of BI applications.

4. Mobile BI
In the future, Business Intelligence will not be limited by device or location. It will be cross-platform, offering instant access from all smartphones and tablets.

Now, mobile BI goes a step beyond simply building separate mobile apps for smartphones and tablets. It involves creating BI apps that adapt to the device on which they're accessed. They must look like a PC application when accessed on a PC, but look completely different (yet native) when accessed on a tablet or smartphone.

5. Embedded BI
While traditional BI is typically a standalone product, embedded BI integrates analytics and reporting capabilities directly into your everyday business applications. Essentially, embedded BI brings BI to the end users, working it into their daily routine. This approach is far simpler for users, and can lead to better user adoption.

6. Agility
While the world is full of prognosticators, does anyone truly know how technology will evolve over the next few years? No. For that reason, agility is a necessary element to any good BI solution. The ability to incorporate new tech improvements and capabilities into your existing applications on the fly is absolutely essential.

7. Predictive analytics
Business intelligence will become more than "What is happening in my business?" Instead, it will turn into "What will most likely happen in my business based on past data?" As BI becomes more powerful, it will be able to analyze multiple data points and use that data to predict future outcomes. Imagine what a powerful tool that could be. What if you could pick up your phone, access your mobile BI application, and see the most probable future results?

8. Intelligent Alerts
Once real-time BI becomes the standard, the next logical step is trigger-based alerts. When data has triggered a pre-defined alert, the BI app will send an email or text message to the appropriate party. For instance, what if product sales are abnormally low on one day. An intelligent alert can instantly notify you of this abnormality, and may help you stop a problem before it gets out of hand.

9. Open Integration
Data will no longer be confined to one or two internal database(s). Soon, BI applications will have to pull data from your database, cloud services, email accounts, social media, the web, and more. For instance, what if your business intelligence application could not only display product sales, but also scan the web and social media sites for reviews and comments about your products? Wouldn't that be incredibly useful information? If sales were low, the product feedback pulled from the web may help you understand why.

10. Location-aware
As business intelligence moves towards mobile devices, the usefulness of location aware applications increases. For instance, when your salespeople visit customer or prospect sites, a location-aware application could instantly pull up all the customer/prospect data and correspondence.

Learn more

Learn more about building custom business intelligence applications for your business:


    0 of 8192 characters used
    Post Comment

    No comments yet.


    This website uses cookies

    As a user in the EEA, your approval is needed on a few things. To provide a better website experience, uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

    For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at:

    Show Details
    HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
    LoginThis is necessary to sign in to the HubPages Service.
    Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
    AkismetThis is used to detect comment spam. (Privacy Policy)
    HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
    HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
    Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
    CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
    Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the or domains, for performance and efficiency reasons. (Privacy Policy)
    Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
    Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
    Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
    Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
    Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
    VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
    PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
    Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
    MavenThis supports the Maven widget and search functionality. (Privacy Policy)
    Google AdSenseThis is an ad network. (Privacy Policy)
    Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
    Index ExchangeThis is an ad network. (Privacy Policy)
    SovrnThis is an ad network. (Privacy Policy)
    Facebook AdsThis is an ad network. (Privacy Policy)
    Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
    AppNexusThis is an ad network. (Privacy Policy)
    OpenxThis is an ad network. (Privacy Policy)
    Rubicon ProjectThis is an ad network. (Privacy Policy)
    TripleLiftThis is an ad network. (Privacy Policy)
    Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
    Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
    Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
    Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
    ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
    Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)