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Trends and Outliers

TIBCO Spotfire's Business Intelligence Blog

Category Archives: Business Intelligence

04/17
2014

Analytics Maturity, Stage 2: Diagnose: The Root Cause of Business, Operational Conditions

In a previous post, we explained how the first stage of the Analytics Maturity Model, “Measure,” enables executives and front-line managers to obtain a quick, current status of the operational and business performance of their company.

shutterstock 100575610 300x200 Analytics Maturity, Stage 2: Diagnose: The Root Cause of Business, Operational ConditionsThe second stage of the Analytics Maturity Model, “Diagnose,” is where business leaders are able to visually interact and drill into their data to discover additional answers to questions that arose in the Measure stage, e.g., an increase or decrease in monthly revenue for a particular region.

Executives and other decision makers may also diagnose why an operational change occurred and examine the root cause of something that occurred.

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04/10
2014

Analytics Maturity, Stage 1: Measure: Business Status Right at Your Fingertips

In a previous post, we explained that increasingly the long-term business success in today’s data-driven economy will center on an organization’s analytics maturity.

shutterstock 161390606 300x200 Analytics Maturity, Stage 1: Measure: Business Status Right at Your FingertipsThe first stage of the Analytics Maturity Model, “Measure,” enables executives and front-line managers to get a quick, current status of the operational performance and the business performance of their company.

Many enterprise organizations have historically measured performance using business intelligence (BI) reports. And while traditional BI does meet the basic definition of “Measure,” it certainly doesn’t meet the agility and interactivity of today’s data discovery analytics and mobile technology.

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04/08
2014

Big Data Is Watching Your Customers

Forget Big Brother, big data is always seeing, always tracking, and always collecting data. Smart mobile devices, smart appliances and even intelligent vehicles can offer a constant feed of data for businesses to utilize in a variety of ways.

shutterstock 178246889 300x208 Big Data Is Watching Your CustomersLet’s take a peek into one day in the life of Joe Consumer to see how his actions become part of the Internet of Things and the data stream you use to create powerful big data analytics for your company.

After Joe stumbles out of the shower he heads for the kitchen where his coffee pot and dishwasher are connected to their manufacturers. That’s a good thing because the dishwasher is having service issues.

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04/07
2014

Predictive Analytics: Reading Your Customers’ Minds

Forward-thinking companies like Amazon aren’t just responding to the needs of their customers – they’re anticipating what customers want and providing offers and products based on customer sentiment, transactional trends, and lifecycle status.

shutterstock 100364444 290x300 Predictive Analytics: Reading Your Customers Minds Customers share truckloads of information about themselves – including behavioral, attitudinal, and transactional. Some of this information is shared intentionally through social media sentiment, as well as through survey responses and the like.

But some of the data such as channel behaviors is gleaned without customers’ knowledge. And that makes many consumers uncomfortable about the amount of information that companies have about them and are using to tailor offers and messaging.

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04/04
2014

BI Wisdom Twitter Chat Recap: Cloud BI

It’s time for a Tweet chat recap that’s all about the cloud, business intelligence and the wisdom of some industry experts including host Howard Dresner.

shutterstock 130367741 300x200 BI Wisdom Twitter Chat Recap: Cloud BIThe topic for the March 28 #BIWisdom chat was cloud BI. There was a lot of back and forth, but we’ll focus on one aspect (actually two related aspects) the risks/benefits of cloud BI.

Interest in Cloud BI Is Growing

Dresner (@howarddresner) says that there’s been an increased interest in cloud BI over the past couple years. In fact, he notes that in 2013, 35% of people believe the cloud “critical” or “very important” compared to 31% in 2012.

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03/28
2014

Data Analytics to Uncover Your Customers’ Cheating Hearts

What do your customers really think about your company, your offerings and your competitors? Are they looking to cheat on you if they receive a great deal on a similar product from another company?

shutterstock 66022606 150x150 Data Analytics to Uncover Your Customers Cheating HeartsIf you want to really know how loyal your customers are you can find out by using big data analytics.

The Information on Social Sites

What information do sites like Facebook have? You’d be surprised. They have knowledge about what purchases your customer base is looking to make in the future and how they make buying decisions. They also know what your market thinks about your competitors.

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03/27
2014

Solving Problems with Data Visualization

It’s an age-old problem in business. A mishap occurs, like a flawed batch of products that are produced due to an as-yet-unknown manufacturing glitch.

shutterstock 4457203 300x225 Solving Problems with Data VisualizationDowntime to analyze and fix the malfunction could take hours or days, depending on the severity of the problem and whether defective manufacturing parts have to be ordered, shipped, and installed.

Collecting the Data & Describing the Problem

Depending on the nature of the business and the items being produced, even a temporary halt in production could cost a manufacturer thousands, perhaps even millions, of dollars. Where do decision makers turn? Data visualization tools are great first steps.

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03/17
2014

Selling Sales Leaders on Big Data Analytics

There are numerous ways that sales leaders and their teams can make use of data and analytics to strengthen performance.

shutterstock 161486144 300x199 Selling Sales Leaders on Big Data AnalyticsThese range from gaining a clearer picture of the needs, interests, transaction histories and opportunities of existing customers and prospects to using analytics to identify gaps in sales performance and take actionable steps to work with salespeople to achieve their goals.

Still, some old school sales chiefs are accustomed to relying solely on relationship building and other historical tried-and-true sales techniques to win new business.

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03/13
2014

Big Data for E-Commerce Retail Growth

E-commerce retailers are using 2014 as a banner year to apply big data benefits to online conversion and sales strategies – and they’re just getting started.

shutterstock 153968597 300x178 Big Data for E Commerce Retail GrowthIncreasingly, companies that leverage data that’s already in existence can take advantage of real-time insights to drive conversions and sales in new and enticing ways.

To help your business achieve more with big data, consider the following two strategies for providing a more efficient, customized user experience in online retail:

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03/07
2014

Mobile BI: Connecting Users to the Data

Self-serve business intelligence is all the rage. Get your data sets, mash up your data, and develop your own insights.

coffeeshop thumb 150x150 Mobile BI: Connecting Users to the DataBut guess what?

Your data sets are out of date the instant they’re downloaded. You spend hours, if not days, trying to figure out and map your data sets – all the while your insights are meaning different things to the person next to you.

Changing the Way You Use Data

Self-serve business intelligence is important and great – but it’s only for an elite few in your organization. It’s time to re-think how you use your data to monitor and manage your business.

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