Analytics apps, analytics apps.#Analytics #apps


analytics apps

Combine Firebase products to solve even the most demanding app development and growth challenges.

Analytics apps

Progressively roll out new features arrow_forward

Before releasing a new feature, test it on a subset of your user base to see how it works and how they respond.

Analytics apps

Create a great onboarding flow arrow_forward

Give users a simple, secure way to sign into your app, then monitor the onboarding process and find ways to improve it.

Analytics apps

Add chat to your app arrow_forward

Implement a user-friendly chat feature so that your users can chat with each other in realtime without leaving your app.

Ship cross-platform apps with ease. Firebase APIs are packaged into a single SDK so you can expand to more platforms and languages, including C++ and Unity, with Firebase as your unified backend.

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Development teams around the world including NPR, Shazam, Duolingo, and Venmo use Firebase to ship their apps.

Analytics apps

Analytics apps

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Register to Firebase Dev Summit 2017

Meet us at Amsterdam on October 31st to our largest annual summit showcasing the latest product releases and features.

Analytics apps

Help evolve Firebase

Want to help shape Firebase? Join us for one of our future user studies!

Analytics apps

Welcoming Fabric to Google

Fabric will join Google’s Developer Product Group, working with Firebase. Our missions align closely: help developers build better apps and grow their business.

Best Practices for Choosing a Business Intelligence Dashboard #business #intelligence, #bi, #bi #dashboard, #dashboard, #analytics, #data #analtyics, #choosing #a #business #intelligence #product, #analytic #tools


Best Practices for Choosing a Business Intelligence Dashboard

Even if your BI dashboard ends up looking professional and offers beautifully rendered graphs, it won t mean anything unless you have the right data.

Best Practices for Choosing a Business Intelligence Dashboard

How to Choose a Well Designed BI Dashboard Click through for best practices organizations should consider when choosing a business intelligence (BI) dashboard, as identified by Himanshu Sareen, CEO of Icreon Tech.

Best Practices for Choosing a Business Intelligence Dashboard

Strong Visual Representation The first best practice when it comes to BI dashboard design is the bare basics of how you should want your dashboard to be represented visually. First and foremost, a BI dashboard gives you a high-level look into your company s key performance indicators (KPIs) so that you can assess the various goals that matter to your position or business as a whole. That being said, it s a BI tool’s job to aggregate and arrange data so that it s relevant and highly visible to end users who depend on accurate information in order to make high-level decisions that impact a company s welfare.

Best Practices for Choosing a Business Intelligence Dashboard

Strong Visual Representation Let s say that you re a retail company that makes printed shirts. A BI tool would potentially be important for analyzing how many times your company or one of your products is mentioned on social media. Why? Let s also hypothetically say that based on Big Data analysis you know that every 1,000 likes and/or tweets that a particular product receives raises the consumption of that product by 10 percent for as long as its presence is viral on social media. This information would obviously impact how much inventory you need to fulfill the projected increase in orders for the previously mentioned product and essentially a good BI tool should help you connect the dots in real time so that you can take action more quickly.

Best Practices for Choosing a Business Intelligence Dashboard

Strong Visual Representation This is why visual representation is so important when it comes to choosing a dashboard. Not only do you have to choose the most essential KPI s to monitor, but you must choose a dashboard that lets you see the forest through the trees, so to speak. Here s a list of visual properties that a BI tool should be comprised of: It should put key metrics into context so that end users understand the correlating information that can help explain a spike or a dip in performance. The information on a BI dashboard should be dense but not cluttered to the extent that it s difficult to differentiate data points. It should also have a very low learning curve, meaning that graphs and information should be presented in not only an aesthetic way but in a way that is easy for end users to understand even if those end users have a relatively low level of technical background. At the end of the day, remember that any BI dashboard s visual representation is extremely important in terms of user experience, and being able to put heightened information to use depends greatly on users being able to understand the information that s presented to them.

Best Practices for Choosing a Business Intelligence Dashboard

Communicate Information from a Single Screen BI technology is all about being able to communicate the right information at the right time, and being able to compare information easily is a big part of that communication process. That s why your dashboard s most critical information should fit on a single screen. Whether you re analyzing how your business generates leads, or how your national retail campaigns stack up from a regional standpoint, having all the critical information at your fingertips is essential. The following are a couple of good examples of what a dashboard should look like, and the types of disparate information it should contain.

Best Practices for Choosing a Business Intelligence Dashboard

Dashboard Example This example is of a dashboard whose aim is to communicate retail analysis. It breaks down total stores, total sales, and then separates that from new stores (and the sales done in those stores), making it easy to see how well the new sites are developing. It also connects this year s sales to last year s and correlates that information to sales per square foot of store space which would be essential in calculating whether to open/close new stores in the future, and how many should be opened/closed.

Best Practices for Choosing a Business Intelligence Dashboard

Dashboard Example This example offers an executive summary of how a company is performing. It gives detailed information on the company s net income vs. sales, production, and unit shipments. This information would obviously be pertinent for employees such as general managers and is commutable all the way up to the CEO.

Best Practices for Choosing a Business Intelligence Dashboard

Make Sure Any BI Tool Fits Your Needs The last tip for choosing the right BI dashboard has to do with customization. There are plenty of off the shelf BI solutions such as the software that IBM offers, and there are customizable software options such as Yellowfin which will build your BI platform to fit the exact specifications you require. There are myriad reasons for choosing either off the shelf or custom software to fulfill your BI needs, but whichever you choose, make sure that your suite is customizable to your specific needs (in this instance, customizable is synonymous with easy usability meaning that you shouldn t have to ask the IT department every time you want to run a report) and that it can be used unilaterally across departments.

Best Practices for Choosing a Business Intelligence Dashboard

Conclusion Making an investment in BI technology is no small thing for a company as it can be expensive to implement and operate. That s why it s of paramount importance that you take an in-depth look at what design capabilities you require in a dashboard so that it s easy for your workforce to use, and so it has a significant impact on growing your bottom line.

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I come from WordPress and for me Rainmaker was like switching from PC to Mac: a much smoother experience and big amounts of time and energy saved from not having to bother with under-the-hood stuff. And the strange paradox is, you can actually do a lot more with Rainmaker than with just WordPress and plugins.

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Choose from a bountiful selection of great designs to start with, then customize them to work for you using our built-in tools. If you prefer to use your own custom Genesis child theme, there’s more information in the last item of this page.

Rainmaker makes it easy to focus on content and to produce it with confidence. The user interface is so approachable that you have no excuse but to just dive right in and start creating.

Content Creation Tools that Make You Look Good

Focus on what matters. The Rainmaker Platform gives you the tools to research, optimize, and reach out to other site owners about the content you create so you can attract the audience you’re after.

It’s a multimedia world. In addition to the standard posts and pages you’re accustomed to, the Rainmaker Platform also features a full suite of podcasting tools and storage for audio files.

I recently moved to the Rainmaker Platform, because I wanted to work more on my business, and less on the details of maintaining a website. I can create all different types of content, like private membership forums, podcasts, and more. It’s just push-button simple to get most things started. I vouch for it. I trust my business to it. I believe in the company who supports it. Get some.

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The keyword tool helped me rank a YouTube video in a day. Good stuff.

Turn Traffic Into Money

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Whether you’re creating a free content library to build your list or selling digital goods, the Rainmaker Setup Wizard will help you accomplish your goals quicker than ever.

I love Rainmaker because it allows me to focus on the marketing and content creation, not a ton of tech. I can have a member portal, protected downloads, private forums, and more without hiring a tech team.

Track the Fundamental Metrics that Matter

The Rainmaker Platform gives you easy access to the metrics that matter. Traffic, leads, sales … see how you’re doing and drill down deeper for great insight.

Google’s free analytics service is smarter than you think, if you know how to carve it up correctly. Rainmaker does the heavy lifting for you so traffic and website usage data is instantly useful.

What I love most about Rainmaker is the seamless integration of literally every element I need to efficiently run my online business. No more struggling with multiple plugins, dealing with updates, or compatibility issues -– and the days of worrying about the security of my site are long gone. Rainmaker is the total package, and I can’t imagine running my business without it.

Carin Kilby Clark

Predictive Analytics – Cloud Machine Learning Engine #cloud #analytics


Cloud Machine Learning Engine

Managed Scalable Machine Learning

Google Cloud Machine Learning Engine is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech. Build models of any size with our managed scalable infrastructure. Your trained model is immediately available for use with our global prediction platform that can support thousands of users and TBs of data. The service is integrated with Google Cloud Dataflow for pre-processing, allowing you to access data from Google Cloud Storage. Google BigQuery. and others.

Predictive Analytics at Scale

Seamlessly transition from training to prediction, using online (currently in Beta) and batch prediction services. Integration to Google global load balancing enables you to automatically scale your machine learning application, and reach users world-wide.

Build Machine Learning Models Easily

HyperTune lets you automatically tune your model training to achieve better results faster. Enable developers to easily build models using Cloud Datalab. Data Scientists can understand their data, create TensorFlow model graphs, train their models and analyze model quality.

Fully Managed Service

Scalable and distributed training infrastructure with GPU acceleration for your largest data sets. Managed serverless infrastructure handles provisioning, scaling, and monitoring so that you can focus on building your models instead of handling clusters.

Deep Learning Capabilities

Cloud Machine Learning Engine supports any TensorFlow models – you can build and use models that can work on any type of data, across a whole variety of scenarios.

Cloud Machine Learning Engine Features

Machine Learning on any data, any size

Integrated Google services are designed to work together. It works with Cloud Dataflow for feature processing, Cloud Storage for data storage and Cloud Datalab for model creation. HyperTune Build better performing models faster by automatically tuning your hyperparameters with HyperTune, instead of spending many hours to manually discover values that work for your model. Managed Service Focus on model development and prediction without worrying about the infrastructure. Managed service automates all resource provisioning and monitoring. Scalable Service Build models of any data size or type using managed distributed training infrastructure that supports CPUs and GPUs. Accelerate model development, by training across many number of nodes, or running multiple experiments in parallel. Notebook Developer Experience Create and analyze models using the familiar Jupyter notebook development experience, with integration to Cloud Datalab. Portable Models Use the open source TensorFlow SDK to train models locally on sample data sets and use the Google Cloud Platform for training at scale. Models trained using Cloud Machine Learning Engine can be downloaded for local execution or mobile integration.

Google Cloud Machine Learning Engine enabled us to improve the accuracy and speed at which we correct visual anomalies in the images captured from our satellites. It solved a problem that has existed for decades. It will allow Airbus Defence and Space to continue to provide unrivaled access to the most comprehensive range of commercial Earth observation data available today

Mathias OrtnerData Analysis Image Processing Lead, Airbus Defense Space

Cloud Machine Learning Engine Pricing

Cloud Machine Learning Engine charges for training ML models and running predictions with trained models. For detailed pricing information, please view the pricing guide.

Additional Resources

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M.S. Degree in Analytics

The demand for skilled data scientists and managers with the ability to use big data to add value to their organizations is growing fast and there s never been a better or more exciting time to pursue a degree in this high-growth field.

Harrisburg University s Master of Science (M.S.) in Analytics degree program is designed for students with a strong background in mathematics, computer science, engineering, or economics who are looking to learn the specific techniques and tools involved in analytics and the business skills to apply this knowledge effectively and strategically. Whether you re looking to grow in your current position or branch off in a new direction, Harrisburg s M.S. in Analytics will give you the practical skills and real-world experience you need to pursue a rewarding career in big data.

Supplemented by industry supplied projects, HU graduates will be exceptionally well equipped to harness and communicate the full value of data to the organizations they serve. This Harrisburg University master-of-science degree program is a powerful new entrant into the field of data analytics and is critical to developing of the next wave of analytics professionals who will find themselves well-positioned to launch their careers.

Businesses today use data mining and analytics to drive pricing, marketing, R D, finance, operations, logistics, risk management and online activities. Graduates with a Master-of-Science (M.S.) in degree in Analytics from Harrisburg University of Science and Technology will enter the workforce with the skills, confidence and expertise required to succeed in today s information-intensive world.

HU s Master-of-Science in Analytics combines mathematical and statistical study with instruction in advanced computational and data analysis. Students learn to identify patterns and trends; interpret and gain insight from vast quantities of structured and unstructured data; and communicate their findings in practical, useful terms. The program is designed for students with a strong background in mathematics, computer science, engineering or economics who seek the specific techniques and tools involved in analytics and the business skills to apply this knowledge effectively and strategically.

All three areas of data analysis are studied: predictive (forecasting), descriptive (business intelligence and data mining), and prescriptive (optimization and simulation). HU s comprehensive curriculum provides a broad perspective, teaching the skills necessary to be highly effective in solving real-world business challenges. Students learn that simple data analysis can be misleading, that large-scale problems are not amenable to naive solutions, and that working with unstructured field data is different than working with the results of a design experiment. Coursework covers everything from database management, statistical analysis and data mining, to project management and business intelligence.

Graduates of the Master of Science in Analytics will be able to:

  • Identify and assess the opportunities, needs and constraints for data usage within an organizational context;
  • Integrate information technology and data science to maximize the value of data;
  • Design innovative and creative data analytics solutions;
  • Communicate clearly and persuasively to a variety of audiences;
  • Lead analytics teams and projects.

Graduates become data scientists and analysts in finance, marketing, operations, and business intelligence working with groups that generate and consume large amounts of data.

Graduate Admissions Requirements for Non-International Graduate Students

Each applicant’s candidacy will be evaluated once all admissions materials have been received.

The graduate admission process for non-international students requires the candidate to:

International Graduate Student Admissions Requirements and Curricular Practical Training

2016 Data and Analytics Conference – Global Events – Cisco Systems #cisco, #data, #analytics, #data #virtualization, #data #and #analytics #conference, #data #preparation, #edge #analytics, #digital #transformation


Data and Analytics Conference

Overview & Venue

Please join us at the 2016 Data and Analytics Conference, where you will hear how Cisco, our partners, and customers are developing and utilizing new solutions for data and analytics, the Internet of Things, cloud, edge analytics, data preparation and data virtualization. Learn how to get real-time insight from deep within your organization to the edge of your network to fuel innovation, capture competitive advantage and grow your business as you accelerate your digital transformation.

This two-day event will include keynotes from industry luminaries, including Mike Flannagan, VP and GM of Cisco’s Data and Analytics Group and Jim Green, CTO of Cisco’s Data and Analytics Group. Breakout sessions will enable you to dive deeper into data and analytics solutions and technologies that provide insight where the industry is going and how you can take advantage.

Why Attend

  • Gain insights on trends and opportunities from world-renowned technology leaders and strategists.
  • Peer-to-peer interaction and conversation focused on what matters most to you.
  • Derive new strategies for addressing current challenges and anticipating future trends.
  • Understand how to get more out of your Cisco investments today, while building for tomorrow.


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The Hilton Chicago – A Nod to the Past with an Eye on the Future

The Hilton Chicago hotel opened its doors in 1927 and has served as one of the city’s most revered addresses ever since. Located on South Michigan Avenue and overlooking Grant Park and Lake Michigan, the hotel has been meticulously redesigned and restored in a way that preserves the magnificence of its early 20th Century style while incorporating all of the 21st Century conveniences our guests expect. With 1,544 guest rooms and suites, 234,000 square feet of meeting and event space, a full menu of amenities, exceptional dining options, and an ideal location in downtown Chicago, the Hilton Chicago hotel is both accommodating and convenient.

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Business Intelligence and Analytics

Today as the world is moving on from the 24-hour economy to the experience economy . customer experience is taking center-stage and zero tolerance to failure is becoming the new norm. Enterprises need to reinvent their business strategies, embrace new disruptive technologies and solidify their data foundation to succeed in the digital world.

With the confluence of technologies such as hyper-hybrid cloud, gamification, enterprise mobility, social collaboration platforms, robotics, IoT, cognitive computing, augmented reality, 3D printing, accelerate digitalization, data is and will remain the lifeblood of digitalization. Hence, the data2digitalTM journey begins and ends with data.

The digital transformation, however, is easier said than done. For many enterprises, this represents significant changes to their current operations and systems landscape. As a result, enterprises often adopt a two-pronged strategy one to guarantee stability and another focused on change. This gives rise to new organizational priorities ranging from collaborating functional silos, to reskilling IT and reorganizing projects to continuously demonstrate value to the C-suite. To proactively address this situation, enterprises are creating a Chief Data Officer (CDO) portfolio to drive the data2digital transformation.

Hexaware is the partner-of-choice for CDOs in the data2digitalTM journey to transform information systems from management decision-support systems to analytical engines powering the Digital Enterprise. Our offerings help an enterprise strengthen its data management, and deliver timely impactful business analytics by effectively leveraging disruptive technologies. Our differentiated offerings encompass a comprehensive range of services backed by industry-focused analytics solutions and best-in-class technology platforms.

Service Offerings


10 Steps for Successful Social Media Monitoring #social-networking, #mashable, #list, #conversation, #lists, #social-media, #small-business, #track, #business, #analytics



10 Steps for Successful Social Media Monitoring

Recently I wrote about the differences in social media monitoring and measurement, as well as the importance of doing both.

However, taking the first step to actually start monitoring can be daunting. And then what? How do you act on what you find when listening?

How do you engage? To ensure that you are successful in your monitoring and measurement efforts, here are some definitive steps you should follow.

I’ve developed these throughout my career and as part of my regular listening, participating and contributing to the space.

1. Define an Objective

Why are you monitoring? If the answer is “because everyone’s doing it,” you are in trouble. You need to have a clear goal in mind, such as:

I want to monitor because I want to be alerted immediately when people are saying bad / good things about my brand.

I want to quickly respond to all customer service queries, and I’m going to set up a way to collaborate and exchange information seamlessly with my support team.

I’m monitoring so I can quickly see who is talking about [insert industry keyword] and join the conversation to bring more credibility to my brand.

I’m monitoring so I can keep my finger on the pulse of the market so I can figure out what the market actually needs and then create it.

I’m monitoring so I can easily identify people in need of my product and help them at the point of need.

All of the above, and more!

Having an end goal in mind will help you target your resources correctly, select the right tool for the job and be more effective in the end.

2. Decide Where to Monitor

Social media is relationship and conversation media. At its core is the art of building relationships with others, human-to-human. However, you can’t be everywhere conversing with everyone at the same time. You need to pick your battles. Where you “hang out” digitally, just like any outreach and marketing program, should be driven by where your constituency hangs out. The notion of the social customer should reflect not only your current paying customers, but also potential customers and industry thought leaders. Monitoring can help you figure out where these people are, and therefore what channels are best for you to listen to and engage.

3. Decide What to Monitor

Recall that monitoring is keyword-based, and thus selection of the right keywords is important. At the very least, you should be tracking your company name, brand names, product names, names of key execs, competitor names, competitive product names, industry keywords, and your tagline or most recent marketing efforts (e.g. Did you run a special promotion for Mother’s day?).

4. Prioritize

Social media is voluminous –- conversations are happening across many channels and social networks all over the world. To make matters even more complicated, the signal-to-noise ratio is not in your favor. This is why your monitoring must be intelligent and actionable. You should be triaging all the social media messages that come across your field of vision, so that you can focus on what’s most important. If you work in a large, matrixed organization, you need to separate by product or brand and type of message (service vs. feedback).

5. Develop a Plan

To expand on the previous tip, you need to develop a crisis management plan. Don’t let Nestle’s Facebook Page issues happen to you. You should also develop a plan for engagement in more routine situations. When a blogger raves about your product, how do you turn this goodwill into collaboration that benefits both parties? How do you create customer advocacy programs? How do you internalize and execute on feedback about your (or competitor’s) product? How do you deal with irate customers? What about irate bloggers? You need to think through all these scenarios and figure out how you will activate the right resources within the organization.

6. Involve Others

Social media information is bigger and faster than any other information channel we’ve had before. Here lies the challenge: With the speed of a tweet, how do you tap the right person in the organization to either answer the query or help you answer it? However you disseminate information, you need to think about the following:

How does data flow?

How are people notified that their help is needed? Is this done through e-mail or IM alerts? Push notifications? Dashboards?

How quickly are the right parties notified?

How is the information cascaded?

Are functional experts engaging themselves or funneling the answers through the social media ambassador?

After the interaction happens, how is the customer record updated and shared? How is it related to the rest of the customer record (e-mails, call center notes)?

7. Listen First

Let’s say you did some monitoring and identified a certain community as the place to be. Should you just jump in and start chatting and plugging your product from the get-go? Absolutely not!

Before you ever open your digital mouth, listen and observe the culture of the community, interactions between members, how influence is expressed, and even if there’s a particular vernacular. The community can be private or open, but regardless of where the community “resides,” you need to get to know its members, stakeholders, and community norms.

8. Inbound vs. Outbound Conversations

“Outbound” does not mean screaming your message at the top of your Twitter lungs. Outbound simply means that you are proactively going out there and participating in discussions around your area of expertise. For example, I actively seek out discussions on social media monitoring and Social CRM. among others.

Conversely, “inbound” in the context of monitoring simply means that people are talking directly to you or about you with specific end goals in mind –- they either need help, want to give you feedback, or leave a compliment.

The reason I bring up inbound vs. outbound is because both have distinct rules of engagement. When you are participating in a larger discussion, it’s not usually appropriate to throw out links to your product demo left and right. Just because someone utters a keyword doesn’t mean they want to go to your homepage.

However, when it’s an inbound communication, the user is probably looking for something specific to your company, which makes it more acceptable to share relevant links. There are no hard and fast rules about what’s appropriate, but get a feeling for what feels right after listening first, and just use common sense.

9. Build Relationships

As you identify the spheres of influence and group dynamics in step #7, make sure you are forming relationships with the thought leaders around you. Take a minute to identify influencers and figure out who is driving the conversation.

But be wary of defining influence as a sheer function of reach. After you find these thought leaders, take the time to read them and understand their viewpoints before you ever pitch anything. Growing and nurturing these relationships is the art of any social business. Comment on their blogs, chat with them digitally, get to know them personally and professionally, and meet them in person at a conference. Never go into a conversation asking yourself how useful someone can be to you. When you develop a voice and become a resource for others, people will listen to you and spread your message on the merits of the message. The true definition of influence is when you don’t even have to ask others to do that.

10. Select Tools that Match your Strategy

If you identified Twitter as the area of focus based on your research in step #2, you should select a monitoring tool that’s strong in Twitter. If you want to track conversations in multiple languages, look for that capability. Your checklist of what you need in a tool is going to be largely driven by your purpose definition in step #1. You need to know where you are heading and why, so that you can decide whether you want historical or archivable data, charting and sharing capabilities, advanced analytics, free or premium model, depth of coverage, sentiment analytics, easy integration with existing systems, or whatever else you may need.

It’s not an easy task, so I encourage you to do your homework, ask vendors the tough questions, and never lose sight of your objective.

How do you monitor and engage? What are some best practices you’ve developed? What are some things that worked or didn’t work? Be sure to share your insights in the comments.

More Business Resources from Mashable:

Business Analytics PowerPoint Template #business #analytics


Free Business Analytics PowerPoint Template

Free business analyst PowerPoint template demonstrates the possible success of a business analyst. The business analyst is usually an impartial person who serves as a third party, hence is quite useful for the survey of an organization. People who are actively involved in their work, such as the management or operations staff may be overlook some shortcomings of the company s strategies, and possible areas of improvement to be highlighted through free PowerPoint templates. Show how a business analyst can facilitate in bringing issues to the management s attention through free predictive analytics PPT background. and Analytics PPT slides .

Explain various techniques through which a business analyst reviews the problems of a company, and interprets the interaction of the company s clients. Outline the educational requirements, such as a Bachelor s degree, in addition to other professional credentials required for someone to become a certified business analyst through business analyst PowerPoint template.

Business Analytics PowerPoint template is a free PPT template for business presentations. You can download business analytics PPT template with a chart, and a business suitcase for business intelligence PowerPoint presentations or business presentations. Business Analytics template for Microsoft PowerPoint is a free yellow template for business with a colorful chart image, curved lines and a business suitcase. You can download free PPT template for business presentations and use it to decorate your PowerPoint slides.

Download free business analyst PowerPoint template that runs well on latest release of PowerPoint, in addition to its previous versions on Mac, and PC.

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Predictive Analytics World 2017: New York, San Francisco, Chicago and More – a data science and machine learning conference #predictive #analytics, #conference, #predictive #analytics #world, #events, #data #science, #machine #learning, #data #mining, #predictive #modeling


Predictive Analytics World

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    Cross-Industry, Cross-Vendor Sessions

    The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail.

    Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers, employees, students, voters, patients, equipment, and other organizational elements optimizes performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

    • Meet the vendors and learn about their solutions, software and services
    • Discover the best predictive analytics vendors available to serve your needs
    • Learn what they do and see how they compare.
    • Mingle, network and hang out with your best and brightest colleagues
    • Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you.

    If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options! And in the meanwhile get started right away with the Predictive Analytics Guide.

    Analytical Worlds Blog

    by Conference Chair Eric Siegel, Ph.D.

      Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Richard Semmes at Siemens PLM
    • By: Bala Deshpande, Conference Co-Chair, Predictive Analytics World for Manufacturing 2016 In anticipation of his upcoming Predictive Analytics World Manufacturing Chicago, June 19-22, 2017 conference.