SAS Customer Intelligence 360

11月 072018
 

How different is different? Descriptive analytics is powerful. You get to see your data and seeing is believing as they say. But blindly believing what you see is not always the best strategy. Asking someone else if they see what you see helps but is still subjective. Objectivity starts with [...]

Segment comparisons – Seeing is believing but measuring is knowing was published on Customer Intelligence Blog.

11月 062018
 

The only constant is change – Heraclitus As online user behavior continues to evolve, user expectations are growing as well. More and more, users expect to be known; thus, web personalization and targeted content are becoming mission critical and an expectation, not an exception. Using SAS Customer Intelligence 360, we [...]

Using SAS at SAS: How content targeting drives better UX was published on Customer Intelligence Blog.

10月 302018
 

In an earlier blog post my colleague, Suneel Grover, wrote about how to take advantage of the product recommendations technology implemented in SAS Customer Intelligence 360. He noted that two methods are implemented behind the scenes, a visitor-centric and a product (or item)-centric approach. And most importantly, while some sophisticated [...]

Better product-centric recommendations using SAS Customer Intelligence 360 was published on Customer Intelligence Blog.

10月 252018
 

Recommendation systems work best when you can provide them with as many relevant examples as possible. On the other hand, increasing the number of products or offers leads to recommendation blind spots, especially early on in training the system. This cold-start problem is a challenge for most recommendation systems. SAS [...]

How hybrid recommendations improve SAS Customer Intelligence 360 results was published on Customer Intelligence Blog.

10月 022018
 

For those new to SAS Customer Intelligence 360, its functionality can seem vast, but I found it easy to jump in and get started. With this cloud-based software you can combine multiple data sources to create a full picture of your site visitors and better know your customers. SAS Customer [...]

Using SAS at SAS: A new user's perspective on SAS Customer Intelligence 360 was published on Customer Intelligence Blog.

10月 022018
 

For those new to SAS Customer Intelligence 360, its functionality can seem vast, but I found it easy to jump in and get started. With this cloud-based software you can combine multiple data sources to create a full picture of your site visitors and better know your customers. SAS Customer [...]

Using SAS at SAS: A new user's perspective on SAS Customer Intelligence 360 was published on Customer Intelligence Blog.

5月 302018
 

Why does your organization’s website or mobile app exist? What are you hoping to accomplish with your business by being digital? What are the most important priorities for your digital presence? Here are three goals that most organizations share: Sell more stuff. Make marketing more effective. Delight customers. Goals are [...]

SAS Customer Intelligence 360: Goals, propensity models, and machine learning was published on Customer Intelligence Blog.

5月 152018
 

Editor's note: Learn more about SAS 360 Plan, the latest addition to the SAS Customer Intelligence 360 solution. We all know that digital platforms have transformed the role of marketing in the last few years; however, in many organizations, marketing operations hasn’t kept pace with that innovation. Marketers need to be [...]

Purpose-driven marketing planning with SAS Customer Intelligence 360 was published on Customer Intelligence Blog.

4月 052018
 

SAS Global Forum 2018 takes place April 8-11 in Denver. The following post is from Sebastian Dziadkowiec and Piotr Czetwertynski, presenters at the event. You can join Sebastian and Piotr for their talk: “An Agile Approach to Building an Omni-Channel Customer Experience” on April 9 at 2 p.m. in Meeting Room 302. We'll also post their presentation here after the event has concluded.

Keys to building a successful and future-proof omni-channel customer experience

Most organizations acknowledge that building a seamless and consistent customer experience is critical to long-term success. The big question is: Now what? With all of the channels to stitch together – from brick and mortar experiences to online clicks – how do you track and make sense of all that customer data? And, more importantly, how do you use that data to create the very best customer experience?

Over many years of implementing SAS Customer Intelligence and helping our clients give their customers exactly what they want and when they want it, our team has identified some characteristics that make for successful projects. Here are some of the key components that most often make or break a Customer Intelligence project.

Time to market

Everyone likes to see value generated quickly and reaching the break-even point for project within weeks of project launch is critical. In case of campaign management, it is possible. Instead of following the traditional waterfall path, with all the IT-heavy components like requirements gathering and analysis, solution design, many streams of implementation and testing, it is worth considering releasing a minimum viable product as soon as possible. Such approach allows us to focus on delivering business value and field-testing all the creative ideas, rather than building an IT system in perfect accordance to requirements, and one that may no longer be relevant at the day of release.

Applying analytics in the decisioning process

Go beyond traditional, rule-based approach to get the most out of the data you have. Nowadays, everyone speaks about machine learning, big data, NBA, artificial intelligence and so on. It is up to each organization and CI project to forge those fancy buzz words into real value, by embedding advanced analytics techniques in the decisioning process. There are many ways to boost various use cases by the advanced methods; make sure you will be able to use all you need and integrate their results seamlessly, regardless of when and how you engage with your customers.

While working on a CI project you should also keep in mind other areas: project organization, building a future-proof solution that will stay relevant for years, and constant search for additional opportunities to use available data and solutions to generate incremental value beyond the core scope of customer intelligence project.

There isn’t a one-size fits all approach to implementing a CI project, but these lessons learned can greatly increase your chances for project success – successful delivery generating a high ROI in a short timeframe while staying relevant in the long run - through the very best possible customer experience.

Find out more at the SAS Global User Forum 2018

Join Sebastian and Piotr for their “An Agile Approach to Building an Omni-Channel Customer Experience” Breakout Session at SAS Global Forum April 9 at 2 p.m. in Meeting Room 302.

About the Authors

Piotr Czetwertyński

Piotr is Customer Analytics Manager in Accenture. He has 11 years of experience in Campaign Management and Analytics. Currently he is one of the people responsible for launching of Accenture Center of Excellence for SAS CI in Warsaw, Poland.

Piotr recently focuses on solutioning & strategy in the areas of campaign management, BI & Analytics.

Sebastian Dziadkowiec

Sebastian has 8 years of experience in technology and management consulting, mostly in communications industry. He went through the entire project lifecycle on numerous engagements, starting from programmer, through business and technical analyst, up to solution architect and team manager on large-scale analytics projects.

Sebastian specializes in analytics solutions technology architecture, particularly focusing on customer intelligence and big data. He serves as technology lead in Accenture Center of Excellence for SAS CI in Warsaw, Poland.

 

 

Keys to building a successful and future-proof omni-channel customer experience was published on SAS Users.

3月 082018
 

On any given month, several million visitors come to the SAS web – whether it’s www.sas.com, support.sas.com, blogs.sas.com or communities.sas.com. The one thing that these millions of visitors have in common is that they came to the SAS web with a task. Those tasks are varied, but they’re all looking [...]

Using SAS at SAS: The power of web optimization with SAS Customer Intelligence 360 was published on Customer Intelligence Blog.