Trusting Self-Service Analytics: Teradata and Alation Partner to Build Better A Application

Teradata announced a strategic partnership with Alation, Inc., the collaborative data company, to deliver a collaborative data catalog that brings trust in data to self-service analytics. 
What Does This Mean To You?
  • Teradata will re-sell the Alation Data Catalog to Teradata customers and prospects struggling to achieve trust in data – in those data environments that have grown more complex with big data. 
  • Alation is currently in use at several large Teradata customer organizations. For example, eBay was recently honored at Teradata PARTNERS Conference and Expo with a Teradata EPIC Award  for its self-service analytics with Alation.
  • The Teradata and Alation partnership includes joint engineering, joint sales engagement and joint marketing.
  • Teradata customers will be able to obtain licenses for Alation software under their existing Teradata agreement.
Big data has become a very popular topic and one that many companies need to master beyond just the data, but use the data to be able to make their businesses more profitable. Brand need to evaluate their strategy on using data to increase revenue and decrease costs. But that is only possible if the data the brand is using is good. The phrase garbage in, garbage out has never been so important and brands need to have a way to evaluate and trust the data they are using to run their businesses and make better business decisions.

@DrNatalie Petouhoff, VP and Principal Analyst, Constellation Research

Covering Customer-facing Applications That Drive Better Business Results

 

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Teradata Influencer Summit Highlights

Herman Wimmer, Co-President kicks off the event. Herman says that the guiding priorities of Teradata are:

Key Principle #1: Analytic ecosystem: Teradata, DB, UDA, Real-time, Fabric Architecture

Key Principle #2: Big Data Technologies: Aster, Hadoop, Big Data Apps, Apps Center, Open Source Contribution and leverage

Key Principle#3: Cloud for Analytics

Key Principle #4: Enterprise Class Production Analytics, Hybrid Implementations (Pubic/ Private), Broader Market Penetration

Key Principle #5: Consulting, Big Data Consulting, Analytics Consulting, Managed Services

Key Principle #6: Future Markets: Healthcare, Government, Innovation, People, Passion….

In a digital world, where business models are changing very fast (note not everyone agrees with this or sees it) business will need real-time data to make better decisions to make the customer experience the best it can be. Companies that used to compete on selling cars are really COMPETING ON THE “experience or what it feels like to drive/ own the car.” Engineers, marketers, Customer Service Professionals can guess what is making the customer happy- DRIVING THAT CUSTOMER EXPERIENCE or they can use these technologies available to drive better business. It is not easy, but Teradata is definitely simplifying it. But it takes investment of people, process, time, and the technology and PASSION at a brand to take this conversation, strategy and tactics on and turn it into a reality. Hype doesn’t get you very far. We are out of the hype cycle and need to get down to business using data to make the best customer experiences.

My POV: Where is your company with respect to going beyond the conversations of “big data” for “big data” sake and are truly embracing the data in the business, where it can make a difference. Who should lead this? CEO’s that “get the value of data” are looking to someone in their organization to do it – CIO, CTO, CMO, Customer Service Professional to lead data revelations. And if one of those “titles” doesn’t step-up and lead or co-lead with other executives, CEOs will find and hire a Chief Digital Officers or Chief Customer Officers to make it happen. It is an opportunity, but it is not without risk. Done well, it bring huge financial rewards to the company that master it. And probably most likely help that person’s career. If you are in a position that isn’t data-centric – then it’s up to you to turn it into that.

@drnatalie, VP and Principal Analyst, Covering Marketing, Sales, Marketing and Customer Service using Big Data Analytics to Deliver Amazing Customer Experiences

 

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ThinkBig and Teradata Partner for Data Consulting

With all the data and all the opportunity, it’s really necessary to have someone focus on getting most out of that data. Otherwise, as other’s have coined, you end up with a data lake – a bunch of data but not in context and not useable in providing great, continuos customer experiences. And at the end of the day, what companies need is to have the data actually to help them run their business better. So the announcement today solves some of these issues, i.e.,  Think Big, a Teradata (NYSE: TDC) company, announced the immediate expansion of its big data consulting business.

They have announced a dashboard engine to be able to have drill down capability and get to the insights using ingestion patterns and infrastructure. Think Big embraces a range of vendor-neutral, open source options and recommends the best combination to complement existing, proven technologies based on each customer’s unique business needs.

Think Big assists clients, across industries, to gain measurable business value from big data through implementation and integration of open-source technologies such as Apache™ Hadoop®, Apache Spark™, and NoSQL databases (i.e. Apache HBase™, Apache Cassandra™, and MongoDB).

Hadoop and its fast growing ecosystem of open source projects have quickly become first-class technology assets, regardless of the organization’s size or geography,” said Rick Farnell, co-founder and senior vice president International, Think Big, a Teradata company. “Think Big’s international expansion will allow us to effectively share our expertise and support our customers. To support its growth, Think Big is aggressively recruiting talented individuals to fill a variety of positions in sales, data engineering, data science and project management.”

Will be very interesting to see how the partnership evolves and the case studies that result. Remember – send your clients to the enter into the Super Nova Awards to be considered. It’s a great honor and Constellation Research is looking for innovators who are disrupting business models and using data to do that. Especially in click-stream data.

@drnatalie

VP and Principle Analyst, Constellation Research

Covering Marketing, Sales and Customer Service to Provide Great Customer Experiences

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Business Users Vs. Data Scientist: Will Business Ever Prosper From Big Data?

While Data Scientist and Business Analyst are uncovering incredible insights, the big question is how useful is that information to the business and business user? Data Scientists understand the analytics and the data, often using data science language. This can create a barrier to business users. They don’t want to say they don’t understand it or that they don’t have the aptitude or desire to become a Data Scientist. The fact is if you are not a data scientist you probably don’t want to become one. If  you wanted to be one, you would become one. .

So how can business users make sense of all the data that is being collected? Business users speak in business terms – lead conversion rates, reducing churn, increasing customer lifetime value. And that is NOT SQL language. However, to make better decisions about their campaigns and their overall business, they do need to use big data insights. I emphasize insights, but data itself is not helpful unless it provides actionable insights. To use the data, business users are craving an easy to use interface and interactions through visualizations. And they need it to be convenient to use, so they can get the answers they need whenever they need it.

Teradata, for instance, has taken a step forward to solve this dilemma with a new solution by expanding its technology solutions to include applications that make the analytics accessible and consumable for the typical business user. It’s very important to assure business users that the data is in scalable and reusable apps that so that it makes sense to business users.

Teradata calls this capability Big Data Apps. They are purpose-built apps designed to answer specific business questions. They were created by the data science experts who were focused on solving a business issue, like understanding the path of a customer who is about to churn and customer sentiment. In other words, they see these big data apps as a self-service big data discovery designed for non-data scientists to be use specifically by business users to delivers powerful, interactive visualizations to enable quick, impactful decisions and provide the fastest time to value.

Often extracting value from big data requires specialized skills & resources. The big data apps expand big data access to a broader set of users. The industry specific big data apps provide a number of vertical industries support to make better business decisions. Those include: retail, telco and cable, healthcare, travel and hospitality, entertainment and gaming as well as consumer financial institutions.

As an example, for retail, the business issues the big data apps are designed to solve are:

  • Paths to Purchase
  • Attribution (multi-channel)
  • Shopping Cart Abandonment
  • Checkout Flow Analysis
  • Website Flow Analysis
  • Customer Product Analysis and
  • Market Basket & Prod Recommendations.

In the retail sector, for instance, the retail app could be applied to shopping carts and product recommendations. For example, determining the affinity between specific products plays an important role in understanding what products should be recommended to consumers based on past and current purchases and where products should be placed on store shelves. In this scenario, the way the big data app would work is that it would use the Aster Collaborative Filter and Recommender functions to output recommendation data and a visualization of the data.

how to use teradata output

In the healthcare industry, the big data apps provide information on:

  • Paths to Surgery
  • Admission Diagnosis Procedure Paths
  • Patient Affinity of Symptoms and Medicines and Cures
  • Patient Compare of Illnesses and Symptoms
  • Impact Analysis of Patient Care and
  • Drug Prescription Affinity Analysis among similar and dissimilar patients.

And in Travel & Hospitality, the big data apps provide:

  • Customer Review Text Analysis
  • Website Conversion Paths
  • Diminishing Loyalty and
  • Customer Review Sentiment Analysis.

So the question is – is this enough? Will this help business people find big data useful. Everyone was in the race to get big data. Now the race seems to be for the ability to make big data useable. Looking forward to talking to some of Teradata’s customer who are using the big data apps to hear what they think.

@drnatalie

Constellation Research

Covering Marketing, Sales and Customer Service to Deliver Great Customer Experiences Enhanced by Data Analytics for Business Users

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Teradata Delivers: Teradata QueryGrid™ – Teradata Database 15 – Teradata Active EDW 6750

Organizations are struggling to capture and interpret data that is spread across various analytic systems, each system handling different types of processing and data. The space to be the leader in big data analytics market and data warehouse is getting more crowded every day. The buzz words, B.I.G. data have taken new meaning as quants enter the market place as one of the top jobs. Today Teradata  talked to us about these 4 key market trends:

1. Driving towards specialized analytics engines

2. New user groups that want more scripting and procedural language support

3. The desire for simplicity of data integration through schema-on-read

4. Demand to operationalize big data insights accelerates need for performance.

What does this mean to you?

If you are able to use all the systems and integrate them, you would have a logical data warehouse with multiple systems, analytical techniques, programming languages and a diverse data types. This couldn’t be more important as I indicated in my report on Marketing Optimization paper.  It’s the age old problem of business users (CMOs) vs IT people who do care about the issues that Teradata spoke about. The key for any vendor is to understand what keeps the business user up at night and how to translate what the technical improvements make their day easier or the results they are measured on, better.

Essentially Marketers and other users of big data want to be about to run the right analytics on the right platform.  You also want the processing integrated. Often people want to use the data but not worry about where the data resides and they want easy access to data and analytics through existing tools. The point is to optimize, simply and orchestrate processing across and beyond the Teradata UDA.

Teradata has delivered three important innovative products to solidify Teradata’s position as a leader and pioneer in the data and  and again demonstrate their engineering prowess. What are those products?

1. Teradata QueryGrid™ – This is for a business user who wants to ask an important question and get a solid, reliable answer. The reason it would be interesting from an IT user is that there is no complex data movement and IT resources that need to be shuffled around and can reduce costly data duplication.

2. Teradata Database 15 – Teradata Database 15 provides support for Teradata QueryGrid. It enables the Teradata to be a single, seamless coordination point for users to have self-service access to data and analytics across multiple disparate systems. This means the delivery of a flexible schema-on-read so that companies can quickly adapt to change in source data and helps them to monetize the Internet interactions. What this means is that it empowers developers to interact with data using the tools and skills they already have. It also increases the high availability so that business have confidence in the data’s delivery.

3. Teradata Active EDW 6750 –  If you are using big data to make decisions you want it to be real-time so you make the best decision possible with the best data. Essentially B.I.G. needs to have B.I.G. performance. Teradata’s flagship platform is no even faster with a 40% performance increase, more Solid Date Drives (SSDs) for fast and consistent response times and more memory to power the Teradata intelligent Memory.
Active EDW 6750 claims to delivers unmatched power and space efficiency, setting the green, sustainability standard in data warehousing with 4X lower energy consumption and space utilization for the same performance system over just three years.Achieving a 40 percent increase in data warehouse processing performance, the Teradata Active EDW platform supports a big boost in business query rates. This is enabled by the balanced combination of the dual, powerful 12 Core Intel® Xeon® 2600 V2 processors and the performance-efficient NetApp E5500 data storage system. Key to effectively applying all this performance to user work is the Teradata Active System Management software that is now enhanced by the newest SUSE Linux operating system.
Teradata pioneered integration with Hadoop and HCatalog with Aster SQL-H to empower customers to run advanced analytics directly on vast amounts of data stored in Hadoop.  Now they are taking it to the next level with pushdown processing into Hadoop, leveraging the Hive performance improvements delivering results at unprecedented speed and scale.
If you use data, especially CMOs, Marketers, or Customer Experience  / Customer Service folks to better serve your customers you know that scale the breadth and sophistication of your data analytics to respond to the demands of business operations. The challenge is how to best orchestrate a wide variety of new analytic engines, file systems, storage techniques, procedural languages and data types into one cohesive, interconnected, and complementary analytic architecture. There is a big difference between the people who build and maintain store big data vs the people who use it. It’s often the issue most companies run into. It seems that Teradata is acknowledging the different users of data and adjusting their framework and technology to be able to make both parties.
As a business user of technology and big data, did this column help you understand the advancements in the technology? Or does it not really resonant to what you as a CMO or Customer experience person worry about?
@drnatalie
Skype: drnatalie007 | LinkedIn | Google+

Catch my latest:
• Thoughts at www.DrNatalieNews.com 
• Upcoming book series: “7 Steps To Digital Customer Experience Mastery” (working title) 

SAVE THE DATE!
Constellation’s 4th Annual Connected Enterprise 
The Executive Innovation Conference | October 29th-31st

Half Moon Bay, CA | Ritz Carlton

 

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