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The Business Case for Big Data |
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The increasing rate of data volumes, velocities and varieties has defined the concept of Big Data, and more importantly a new opportunity to better transform data from raw form into business intelligence. Here we provide an executive’s guide to making the business case for Big Data, and empowering more people to make better business decisions. |
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How to Use Big Data in Manufacturing |
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Big data can deliver powerful insights to manufacturers to spur improved product forecasting, more successful product introductions, improvements to the supply chain and much more. When equipping products with sensors, machine generated big data can show how a product is being consumed, when maintenance is needed and when the product is approaching the end of its useful life. |
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How Financial Services Leaders Are Succeeding with Big Data |
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Business Intelligence is one of the few sustainable competitive advantages available to banks, insurance companies and capital market organizations. However, research shows the distance between leaders and laggards is large and the journey to better decision making is a complex undertaking. This article examines the research and shares best practices to use big data for increased profits. |
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Microsoft Power BI Review |
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Microsoft has long been providing Business Intelligence (BI) platform technologies such as SQL Server Analysis Service (SSAS), but has long been absent from delivering rich client or presentation layer technologies such as Online Analytical Processing (OLAP). This Power BI review shares the advantages and disadvantages of Microsoft's rapidly expanding solution. |
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Cognitive Systems Explained |
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Cognitive computing is a disruptive technology that will offer competitive advantage to early adopters. However, the promise of cognitive systems is not well understood and cognitive messaging is slow to resonate as it is abstract and not tangible. This post defines cognitive computing, shares its unique benefits and provides some interesting real world examples. |
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Two and a Half Steps to ROI with CRM Analytics |
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According to Dr. Marc Teerlink, "Every day consumers and enterprises create 2.5 quintillion bytes of data"—giving rise to tremendous business insight IF you harness the data to make better business decisions. This article suggests two and half methods to leverage data in your CRM system to increase customer acquisitions and bottom line profits. |
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Five Reasons Why CRM Analytics are Essential for CRM Software Success |
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While some CRM efficiencies are easily observed, the more profound insights will go unnoticed and unexploited until you integrate a customer analytics component. Analytics flush out correlations, isolate patterns and track trends among volumes of customers, allowing your organization to tailor the customer experience for improved engagement, incremental business and better profits. |
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The Best 5 Customer Relationship Management Analytics |
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CRM software systems accumulate increasing volumes of information. However, the desire for more and faster information has to be balanced with the tools to interpret, flex and act upon that information. Enter customer analytics, the one big hope to mine and model customer information and thus pour pure gold into company coffers. |
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The Worst 5 Customer Relationship Management Analytical Measures |
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Not all CRM analytics measures and performance indicators are created equal, meaning not all of them are terribly useful. The challenge is in being able to tell which customer analytics will spur your company forward and which will leave you groping for profits in the dark. Prioritizing the highest impact performance metrics helps managers achieve the most strategic goals in the shortest time. |
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Using Customer Data To Drive Customer Loyalty |
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Sears is in trouble. To reverse the tide, the new CEO is driving an increased focus toward achieving customer loyalty. The retailer is heavily promoting its loyalty program, Shop Your Way Rewards, designed to collect loads of customer data in exchange for discounts and freebies. This is a live case study in how Sears is using customer data to save itself. |
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Business Lessons From The Election |
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The election shows what’s possible with social and mobile technologies and highlights the importance of big data collection and the relevance of modern analytics. Analytics enabled micro targeting that gave the political practitioners the raw materials to customize messages for particular voters, to deliver those messages and to be sure they were seen, and therein is a key finding for all of business. |
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Business Intelligence Adding ROI to CRM |
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Data is not the same as information and business intelligence (BI) has traditionally been about reporting while analytics has been about understanding. Without correct expectations, the right tools, and close integration to CRM software, BI may render information, but without context or history will still leave executives groping for meaning. |
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CRM Analytics Is Advancing Social CRM Adoption |
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CRM analytics are being adopted in conjunction with social CRM (SCRM) projects in order to provide the means to measure and justify social CRM's business performance and financial payback. Social CRM is a case in point symbiotic example of a new business strategy advancing almost hand in hand with the implementation of CRM analytics. |
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