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  • How Social Media Marketing and SEO Are Inter-Linked

    Today successful marketer is the one who leverages advantages from both SEO as well as Social Media Marketing (SMM). Social Media (SM) flourishes where people are, and marketers propel there only. Earlier SMM used to be a standalone strategy but with time it was realized that if it is united with marketing efforts it could generate even better results rather than working in isolation.

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  • Optimize Your Brand - The Social Media Way Part 1

    Attracting new visitors to a website has become the need of the hour for organizations who want to increase their businesses. With the popularization of social media, every organization is trying to make its brand searchable and shareable in various social media.

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  • 3 Common Social Media Network ';Threats'; to Avoid

    Online social media network sites have experienced an extraordinary growth in popularity over the last few years. The growth in social media use has captured the attention of not only enthusiastic us... [Author: TJ Philpott - Computers and Internet - May 25, 2010]

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  • How to Use Social Media To Manage & Improve Events

    Social media is fast becoming a vital part of an event planner?s toolbox. Social media is described as a class of website that is based on user participation and user generated content. Examples of s... [Author: Kate Oxton - Computers and Internet - March 23, 2010]

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  • Social Media Stations for Partners at Oracle OpenWorld

    - by rituchhibber
    Partners will have the opportunity to sign up for an individualized one-on-one session with a social media expert for a customized session to help them better engage with their customers and find new prospects online using social media tools on Sunday, 9/30 from 3-5 pm at the Esplanade Level, Moscone South and Monday, 10/1 from 10am-6pm, at the OPN Lounge, Moscone South, Exhibitor Level.  For additional questions, or to schedule an appointment contact [email protected], or for more information, click here.

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  • SEO & Digital Marketing - Social Media Intangibles

    'Social Media' is certainly one of the most often used, yet least understood terms in the marketing space. In terms of purely defining the term, Social Media can be defined as communications among people in the digital space. These communications typically involve the exchange of ideas, experiences, information and insight, along with various media such as images and videos.

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  • Effective Social Media Marketing With Search Engine Optimization

    If you are also one of them who are selling their products online and marketing it very greatly, you really have to believe in social media marketing. In today's scenarios of online marketing strategies social media marketing is a very good technique and a technique to drive more traffic from internet, it means that you will definitely generate more sell.

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  • Social Media Marketing Needed For Search Engine Optimization

    In John Jantsch's book "The Referral Engine" talking about search engine optimization he says: "It has become extremely difficult to achieve any measure of success for important keyword phrases without the use of social media. (The flip side is that the organizations that take advantage of social media can dominate, particularly within industries slow to adapt.)"

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  • Advanced Record-Level Business Intelligence with Inner Queries

    - by gt0084e1
    While business intelligence is generally applied at an aggregate level to large data sets, it's often useful to provide a more streamlined insight into an individual records or to be able to sort and rank them. For instance, a salesperson looking at a specific customer could benefit from basic stats on that account. A marketer trying to define an ideal customer could pull the top entries and look for insights or patterns. Inner queries let you do sophisticated analysis without the overhead of traditional BI or OLAP technologies like Analysis Services. Example - Order History Constancy Let's assume that management has realized that the best thing for our business is to have customers ordering every month. We'll need to identify and rank customers based on how consistently they buy and when their last purchase was so sales & marketing can respond accordingly. Our current application may not be able to provide this and adding an OLAP server like SSAS may be overkill for our needs. Luckily, SQL Server provides the ability to do relatively sophisticated analytics via inner queries. Here's the kind of output we'd like to see. Creating the Queries Before you create a view, you need to create the SQL query that does the calculations. Here we are calculating the total number of orders as well as the number of months since the last order. These fields might be very useful to sort by but may not be available in the app. This approach provides a very streamlined and high performance method of delivering actionable information without radically changing the application. It's also works very well with self-service reporting tools like Izenda. SELECT CustomerID,CompanyName, ( SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID ) As Orders, DATEDIFF(mm, ( SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) ,getdate() ) AS MonthsSinceLastOrder FROM Customers Creating Views To turn this or any query into a view, just put CREATE VIEW AS before it. If you want to change it use the statement ALTER VIEW AS. Creating Computed Columns If you'd prefer not to create a view, inner queries can also be applied by using computed columns. Place you SQL in the (Formula) field of the Computed Column Specification or check out this article here. Advanced Scoring and Ranking One of the best uses for this approach is to score leads based on multiple fields. For instance, you may be in a business where customers that don't order every month require more persistent follow up. You could devise a simple formula that shows the continuity of an account. If they ordered every month since their first order, they would be at 100 indicating that they have been ordering 100% of the time. Here's the query that would calculate that. It uses a few SQL tricks to make this happen. We are extracting the count of unique months and then dividing by the months since initial order. This query will give you the following information which can be used to help sales and marketing now where to focus. You could sort by this percentage to know where to start calling or to find patterns describing your best customers. Number of orders First Order Date Last Order Date Percentage of months order was placed since last order. SELECT CustomerID, (SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) As Orders, (SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS LastOrder, (SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS FirstOrder, DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) AS MonthsSinceFirstOrder, 100*(SELECT COUNT(DISTINCT 100*DATEPART(yy,OrderDate) + DATEPART(mm,OrderDate)) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) / DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) As OrderPercent FROM Customers

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  • designing an API wrapper for Twitter, Facebook, Youtube etc...

    - by John Stewart
    I am looking at some pointers on how to design a wrapper for these social networking sites. Ideally what I want to do is create a black box where I am able to create an interface for other libraries to call certain functions to interact with these social networking sites. I am planning on using oAuth for most of these sites, I already have this layer designed in PHP. The other layer that I need for these social sites is the ability to push and pull content. For example, the ability to pull feeds for users from each of these networks and then should I cache them on my end? how would I cache all twitter, facebook etc activity feed and be able to account for resync etc? The networks that I am looking at are: Twitter Youtube Facebook LinkedIN Vimeo Flickr I am looking for ideas on how to tackle this in php? Any suggestions, opensource systems that I can learn from?

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  • Media recommendation engine - Single user system - How to start

    - by Microkernel
    Hi guys, I want to implement a media recommendation engine. I saw a similar posts on this, but I think my requirements are bit different from those, so posting here. Here is the deal. I want to implement a recommendation engine for media players like VLC, which would be an engine that has to care for only single user. Like, it would be embedded in a media player on a PC which is typically used by single user. And it will start learning the likes and dislikes of the user and gradually learns what a user likes. Here it will not be able to find similar users for using their data for recommendation as its a single user system. So how to go about this? Or you can consider it as a recommendation engine that has to be put in say iPods, which has to learn about a single user and recommend music/Movies from the collections it has. I thought of start collecting the genre of music/movies (maybe even artist name) that user watches and recommend movies from the most watched Genre, but it look very crude, isn't it? So is there any algorithms I can use or any resources I can refer up to? Regards, MicroKernel :)

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  • Oracle Social Network Developer Challenge: Bezzotech

    - by Kellsey Ruppel
    Originally posted by Jake Kuramoto on The Apps Lab blog. I’ve covered all the entries we had for the Oracle Social Network Developer Challenge, the winners, Dimitri and Martin, HarQen, TEAM Informatics and John Sim from Fishbowl Solutions, and today, I’m giving you bonus coverage. Friend of the ‘Lab, Bex Huff (@bex) from Bezzotech (@bezzotech), had an interesting OpenWorld. He rebounded from an allergic reaction to finish his entry, Honey Badger, only to have his other OpenWorld commitments make him unable to present his work. Still, he did a bunch of work, and I want to make sure everyone knows about the Honey Badger. If you’re wondering about the name, it’s a meme; “honey badger don’t care.” Bex tackled a common problem with social tools by adding game mechanics to create an incentive for people to keep their profiles updated. He used a Hot-or-Not style comparison app that poses expertise questions and awards a badge to the winner. Questions are based on whatever attributes the business wants to emphasize. The goal is to find the mavens in an organization, give them praise and recognition, ideally creating incentive for everyone to raise their games. In his own words: There is a real information quality problem in social networks. In last year’s keynote, Larry Elison demonstrated how to use the social network to track down resources that have the skill sets needed for specific projects. But how well would that work in real life? People usually update that information with the basic profile information, but they rarely update their profiles with latest news items, projects, customers, or skills. It’s a pain. Or, put another way, when was the last time you updated your LinkedIn profile? Enter the Honey Badger! This is a example of a comparator app that gamifies the way people keep their profiles updated, which ensures higher quality data in the social network. An administrator comes up with a series of important questions: Who is a better communicator? Who is a better Java programmer? Who is a better team player? And people would have a space in their profile to give a justification as to why they have these skills. The second part of the app is the comparator. It randomly shows two people, their names, and their justification for why they have these skills. You will click on one of them to “vote” for them, then on the next page you will see the results from the previous match, and get 2 new people to vote on. Anybody with a winning score wins a “Honey Badge” to be displayed on their profile page, which proudly states that their peers agree that this person has those skills. Once a badge is won, it will be jealously guarded. The longer your go without updating your profile, the more likely it is that you will lose your badge. This “loss aversion” is well known in psychology, and is a strong incentive for people to keep their profiles up to date. If a user sees their rank drop from 90% to 60%, they will find the time to update their justification! Unfortunately, during the hackathon we were not allowed to modify the schema to allow for additional fields such as “justification.” So this hack is limited to just the one basic question: who is the bigger Honey Badger? Here are some shots of the Honey Badger application: #gallery-1 { margin: auto; } #gallery-1 .gallery-item { float: left; margin-top: 10px; text-align: center; width: 33%; } #gallery-1 img { border: 2px solid #cfcfcf; } #gallery-1 .gallery-caption { margin-left: 0; } Thanks to Bex and everyone for participating in our challenge. Despite very little time to promote this event, we had a great turnout and creative and useful entries. The amount of work required to put together these final entries was significant, especially during a conference, and the judges and all of us involved were impressed at how much work everyone was able to do. Congrats to everyone, pat yourselves on the back. Stay tuned if you’re interested in challenges like these. We’ll likely be running similar events in the not-so-distant future.

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  • Integrating Social, Marketing, and Loyalty to Deliver Great Customer Experiences

    - by Charles Knapp
    Eighty nine percent of consumers quit a brand after one bad experience. With the high cost of acquiring new customers, what can brand leaders do? At the Loyalty World Conference this week in London, global business leaders such as the co-founder of Ben & Jerry’s shared the latest in how to retain customers and boost advocacy. Melissa Boxer and Sundar Swaminathan of Oracle shared that by taking an outside-in approach, you can deliver a differentiated, loyalty-building experience throughout the customer lifecycle, from researching and selecting through to using and recommending. To transform customer experiences, you need to integrate your brand’s social, marketing, and loyalty functions from the commonplace silos. Three key strategies: Know more and understand, unifying and capturing insights across touch points to better understand who to serve, how to serve, and when to serve.  Connect and engage across social and traditional channels, empowering a relationship ecosystem between social communities, customers, and employees. Make the personalized experience easy and rewarding. Visit us on twitter.com/oraclecrm to learn more useful highlights from the #lwconf conference.

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  • Hogyan konfiguráljunk egy Oracle BI cluster rendszert Sun hardver környezetben

    - by Fekete Zoltán
    A következo Deploying Oracle® Business Intelligence Enterprise Edition on Oracle's Sun Systems white paper részletesen leírja, hogyan állítsunk össze egy Oracle BI klasztert. Ezzel a klaszter környezettel elérheto: - nagy rendelkezésre állás, az egyik szerver meghibásodásakor is muködik tovább a rendszer - terhelésmegosztás a BI szerverek között, aktív-aktív szereppel A dokumentum kitér mind a hardver mind a szoftver komponensek architektúrájára és konfigurálására, még az installálásra is: - hardver komponensek kapcsolatára: a két Oracle Business intelligence Sun SPARC Enterprise szerver, a switch, a Sun Unified Storage,... - szoftver komponensek: Oracle BI EE, WebLogic Server, Oracle Directory Server, Oracle Database, Oracle VM Server for SPARC, stb. Deploying Oracle® Business Intelligence Enterprise Edition on Oracle's Sun Systems

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  • Social Media APIs and Their C# Counterparts

    Whether it's talking about current events or sharing photos of a family vacation, the world is now addicted to social networks. Businesses recognize this, and these days every business wants social media addressed in their applications. Facebook, Twitter, and other sites provide powerful APIs you can use to harness the power of social networking in your own applications. However, most of these APIs tend to return data formatted in any number of syndication formats that can be quite painful to work with. Luckily, there are many free .NET based libraries that make interacting with these APIs a breeze. Over the next several weeks, I'll be posting some information and examples specific to some of these libraries. Here are a few of them now for your consumption... TweetSharp Twitter exposes its API in the form of three different APIs, two REST APIs and one Streaming API. These APIs can be queried by making HTTP GET/POST requests to a specific URL with some required parameters. Unfortunately, ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Windows Azure Recipe: Social Web / Big Media

    - by Clint Edmonson
    With the rise of social media there’s been an explosion of special interest media web sites on the web. From athletics to board games to funny animal behaviors, you can bet there’s a group of people somewhere on the web talking about it. Social media sites allow us to interact, share experiences, and bond with like minded enthusiasts around the globe. And through the power of software, we can follow trends in these unique domains in real time. Drivers Reach Scalability Media hosting Global distribution Solution Here’s a sketch of how a social media application might be built out on Windows Azure: Ingredients Traffic Manager (optional) – can be used to provide hosting and load balancing across different instances and/or data centers. Perfect if the solution needs to be delivered to different cultures or regions around the world. Access Control – this service is essential to managing user identity. It’s backed by a full blown implementation of Active Directory and allows the definition and management of users, groups, and roles. A pre-built ASP.NET membership provider is included in the training kit to leverage this capability but it’s also flexible enough to be combined with external Identity providers including Windows LiveID, Google, Yahoo!, and Facebook. The provider model has extensibility points to hook into other identity providers as well. Web Role – hosts the core of the web application and presents a central social hub users. Database – used to store core operational, functional, and workflow data for the solution’s web services. Caching (optional) – as a web site traffic grows caching can be leveraged to keep frequently used read-only, user specific, and application resource data in a high-speed distributed in-memory for faster response times and ultimately higher scalability without spinning up more web and worker roles. It includes a token based security model that works alongside the Access Control service. Tables (optional) – for semi-structured data streams that don’t need relational integrity such as conversations, comments, or activity streams, tables provide a faster and more flexible way to store this kind of historical data. Blobs (optional) – users may be creating or uploading large volumes of heterogeneous data such as documents or rich media. Blob storage provides a scalable, resilient way to store terabytes of user data. The storage facilities can also integrate with the Access Control service to ensure users’ data is delivered securely. Content Delivery Network (CDN) (optional) – for sites that service users around the globe, the CDN is an extension to blob storage that, when enabled, will automatically cache frequently accessed blobs and static site content at edge data centers around the world. The data can be delivered statically or streamed in the case of rich media content. Training These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • #OOW 2012: Big Data and The Social Revolution

    - by Eric Bezille
    As what was saying Cognizant CSO Malcolm Frank about the "Futur of Work", and how the Business should prepare in the face of the new generation  not only of devices and "internet of things" but also due to their users ("The Millennials"), moving from "consumers" to "prosumers" :  we are at a turning point today which is bringing us to the next IT Architecture Wave. So this is no more just about putting Big Data, Social Networks and Customer Experience (CxM) on top of old existing processes, it is about embracing the next curve, by identifying what processes need to be improve, but also and more importantly what processes are obsolete and need to be get ride of, and new processes put in place. It is about managing both the hierarchical and structured Enterprise and its social connections and influencers inside and outside of the Enterprise. And this does apply everywhere, up to the Utilities and Smart Grids, where it is no more just about delivering (faster) the same old 300 reports that have grown over time with those new technologies but to understand what need to be looked at, in real-time, down to an hand full relevant reports with the KPI relevant to the business. It is about how IT can anticipate the next wave, and is able to answers Business questions, and give those capabilities in real-time right at the hand of the decision makers... This is the turning curve, where IT is really moving from the past decade "Cost Center" to "Value for the Business", as Corporate Stakeholders will be able to touch the value directly at the tip of their fingers. It is all about making Data Driven Strategic decisions, encompassed and enriched by ALL the Data, and connected to customers/prosumers influencers. This brings to stakeholders the ability to make informed decisions on question like : “What would be the best Olympic Gold winner to represent my automotive brand ?”... in a few clicks and in real-time, based on social media analysis (twitter, Facebook, Google+...) and connections link to my Enterprise data. A true example demonstrated by Larry Ellison in real-time during his yesterday’s key notes, where “Hardware and Software Engineered to Work Together” is not only about extreme performances but also solutions that Business can touch thanks to well integrated Customer eXperience Management and Social Networking : bringing the capabilities to IT to move to the IT Architecture Next wave. An example, illustrated also todays in 2 others sessions, that I had the opportunity to attend. The first session bringing the “Internet of Things” in Oil&Gaz into actionable decisions thanks to Complex Event Processing capturing sensors data with the ready to run IT infrastructure leveraging Exalogic for the CEP side, Exadata for the enrich datasets and Exalytics to provide the informed decision interface up to end-user. The second session showing Real Time Decision engine in action for ACCOR hotels, with Eric Wyttynck, VP eCommerce, and his Technical Director Pascal Massenet. I have to close my post here, as I have to go to run our practical hands-on lab, cooked with Olivier Canonge, Christophe Pauliat and Simon Coter, illustrating in practice the Oracle Infrastructure Private Cloud recently announced last Sunday by Larry, and developed through many examples this morning by John Folwer. John also announced today Solaris 11.1 with a range of network innovation and virtualization at the OS level, as well as many optimizations for applications, like for Oracle RAC, with the introduction of the lock manager inside Solaris Kernel. Last but not least, he introduced Xsigo Datacenter Fabric for highly simplified networks and storage virtualization for your Cloud Infrastructure. Hoping you will get ready to jump on the next wave, we are here to help...

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  • Social Targeting: This One's Just for You

    - by Mike Stiles
    Think of social targeting in terms of the archery competition we just saw in the Olympics. If someone loaded up 5 arrows and shot them straight up into the air all at once, hoping some would land near the target, the world would have united in laughter. But sadly for hysterical YouTube video viewing, that’s not what happened. The archers sought to maximize every arrow by zeroing in on the spot that would bring them the most points. Marketers have always sought to do the same. But they can only work with the tools that are available. A firm grasp of the desired target does little good if the ad products aren’t there to deliver that target. On the social side, both Facebook and Twitter have taken steps to enhance targeting for marketers. And why not? As the demand to monetize only goes up, they’re quite motivated to leverage and deliver their incredible user bases in ways that make economic sense for advertisers. You could target keywords on Twitter with promoted accounts, and get promoted tweets into search. They would surface for your followers and some users that Twitter thought were like them. Now you can go beyond keywords and target Twitter users based on 350 interests in 25 categories. How does a user wind up in one of these categories? Twitter looks at that user’s tweets, they look at whom they follow, and they run data through some sort of Twitter secret sauce. The result is, you have a much clearer shot at Twitter users who are most likely to welcome and be responsive to your tweets. And beyond the 350 interests, you can also create custom segments that find users who resemble followers of whatever Twitter handle you give it. That means you can now use boring tweets to sell like a madman, right? Not quite. This ad product is still quality-based, meaning if you’re not putting out tweets that lead to interest and thus, engagement, that tweet will earn a low quality score and wind up costing you more under Twitter’s auction system to maintain. That means, as the old knight in “Indiana Jones and the Last Crusade” cautions, “choose wisely” when targeting based on these interests and categories to make sure your interests truly do line up with theirs. On the Facebook side, they’re rolling out ad targeting that uses email addresses, phone numbers, game and app developers’ user ID’s, and eventually addresses for you bigger brands. Why? Because you marketers asked for it. Here you were with this amazing customer list but no way to reach those same customers should they be on Facebook. Now you can find and communicate with customers you gathered outside of social, and use Facebook to do it. Fair to say such users are a sensible target and will be responsive to your message since they’ve already bought something from you. And no you’re not giving your customer info to Facebook. They’ll use something called “hashing” to make sure you don’t see Facebook user data (beyond email, phone number, address, or user ID), and Facebook can’t see your customer data. The end result, social becomes far more workable and more valuable to marketers when it delivers on the promise that made it so exciting in the first place. That promise is the ability to move past casting wide nets to the masses and toward concentrating marketing dollars efficiently on the targets most likely to yield results.

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  • Social Network News Feed Database & Design

    - by pws5068
    I'm designing a News Feed system using PHP/MySQL similar to facebook's. I have asked a similar question before but now I've changed the design and I'm looking for feedback. Example Notifications: User_A commented on User_B's new album. "Hey man nice picture!" User_B added a new Photo to [his/her] profile. [show photo thumbnail] Initially, I implemented this using excessive columns for Obj1:Type1 | Obj2:Type2 | etc.. Now the design is set up using a couple special keywords, and actor/receiver relationships. My database is designed for efficiency - using a table of messages joined on a table containing userid,actionid,receiverid,receiverObjectTypeID, Here's a condensed version of what it will look like once joined: News_ID | User_ID | Message | Timestamp 2643 A %a commented on %o's new %r. SomeTimestamp 2644 B %a added a new %r to [his/her] profile. SomeTimestamp %a = the User_ID of the person doing the action %r = the receiving object %o = the owner of the receiving object (for example the owner of the album) (NULL if %r is a user) Questions: Is this a smart (efficient/scalable) way to move forward? How can I show messages like: "User_B added 4 new photos to his profile."?

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  • How to model a social news feed on Google App Engine

    - by PEZ
    We want to implement a "News feed" where a user can see messages broadcasted by her friends, sorted with newest message first. But the feed should reflect changes in her friends list. (If she adds new friends, messages from those should be included in the feed, and if she removes friends their messages should not be included.) If we use the pubsub-test example and attach a recipient list to each message this means a lot of manipulation of the message recipients lists when users connect and disconnect friends. We first modeled publish-subscribe "fan out" using conventional RDBMS thinking. It seemed to work at first, but then, since the IN operator works the way it does, we quickly realized we couldn't continue on that path. We found Brett Slatkin's presentation from last years Google I/O and we have now watched it a few times but it isn't clear to us how to do it with "dynamic" recipient lists. What we need are some hints on how to "think" when modeling this.

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