Eighty percent of companies say they’re collecting enough data to measure business performance, but studies show only six percent are extremely satisfied with their ability to use consumer engagement data. Are you still using spreadsheets? Think it’s too complicated to make the jump to integrated analytics? We think not. Here are the top 9 myths debunked.
Thinking through what implications the patterns hold for their businesses, companies can find ways to engage more fully with the digital economy—and cash in on its promise.
Thinking through what implications the patterns hold for their businesses, companies can find ways to engage more fully with the digital economy—and cash in on its promise.
Companies can get stuck trying to analyze all that’s possible
and all that they could do through analytics, when they should
be taking that next step of recognizing what’s important and
what they should be doing
Data-Driven Innovation in Customer service - the Samsung story - Big Data Exp...webwinkelvakdag
The Customer Service landscape is changing rapidly. More & more organizations understand that key to long-term success is a continuous close relationship with your consumers. Many companies fight over share of wallet. Similarly, many companies now also fight to get the consumer's attention and get him or her back in their environment (shop, online, channels) when he has questions or any other issue with a product or service.
At Samsung we believe that Customer Service is a Marketing Tool. We invest in building the best possible services to attract consumers to come directly to us.
This requires innovation in Customer Contact (Voice, Digital, Social), Logistics & Repair Services.
Key to successful innovation is (of course) to have a data-driven approach. This is what we learn. This is what every (data) Consultant will tell you. Gather the Data, Analyze it, Identify Patterns and run Simulations.
But, what if the data is simply not available? What if the data says something different than your gut feeling?
Sometimes a leap into the dark is the best approach. Innovating means being ahead of the curve, being where others have not yet gone before.
We'll talk about how we (at Samsung) have approached this. About successes and failures. And how this all ultimately gave us all the data we needed.
We recently worked with IdealSpot to create an explainer video for their retail location analyzer software. Here's what we found out about the company, and how IdealSpot helps businesses succeed by finding the ideal location.
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
Presentation for the Barcamp Nashville 2009 "Un-conference" - October 17, 2009 - "Counting Your Chickens - Analytics for Small Business" - panel discussion from members of the Analytics Committee, Nashville Technology Council - http://technologycouncil.com
Machine learning is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning to increase sales efficiency and to increase margins and revenue.
This deck was used in the guest lecture delivered by Ganes at the Rutgers Business School, New Jersey, on July 7th, 2021. These slides were supplemented with a live business case that was used for the class discussion.
Marketing Data Renovators Guide: 10 Steps to Prime Your B2B Database for Anal...Shelly Lucas
What do a fixer-upper and your marketing database have in common? More than you think. Learn 10 clear steps for making your database analytics-ready in this e-book.
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
The Value of Data Governance & Performance MeasurementObservePoint
Driving growth requires collecting accurate, complete customer data and using that data to improve customer experiences and generate new revenue. So what do you do if your data is untrustworthy or incomplete?
In this tip sheet, The Value of Data Governance & Performance Measurement, you'll learn how you can leverage automated data governance and performance measurement to:
- Ensure data is standardized, unified, and validated—so that nothing slips through the cracks
- Test critical pathways to ensure quality experiences on your site
- Track end-to-end customer journeys for holistic insights
- Implement ongoing data validation and sophisticated attribution to drive growth
Government Contact Center Council (G3C) meeting, June 12, 2014
Rosetta Lue
City of Philadelphia, Office of the Managing Director’s Chief Customer Service Officer
Companies can get stuck trying to analyze all that’s possible
and all that they could do through analytics, when they should
be taking that next step of recognizing what’s important and
what they should be doing
Data-Driven Innovation in Customer service - the Samsung story - Big Data Exp...webwinkelvakdag
The Customer Service landscape is changing rapidly. More & more organizations understand that key to long-term success is a continuous close relationship with your consumers. Many companies fight over share of wallet. Similarly, many companies now also fight to get the consumer's attention and get him or her back in their environment (shop, online, channels) when he has questions or any other issue with a product or service.
At Samsung we believe that Customer Service is a Marketing Tool. We invest in building the best possible services to attract consumers to come directly to us.
This requires innovation in Customer Contact (Voice, Digital, Social), Logistics & Repair Services.
Key to successful innovation is (of course) to have a data-driven approach. This is what we learn. This is what every (data) Consultant will tell you. Gather the Data, Analyze it, Identify Patterns and run Simulations.
But, what if the data is simply not available? What if the data says something different than your gut feeling?
Sometimes a leap into the dark is the best approach. Innovating means being ahead of the curve, being where others have not yet gone before.
We'll talk about how we (at Samsung) have approached this. About successes and failures. And how this all ultimately gave us all the data we needed.
We recently worked with IdealSpot to create an explainer video for their retail location analyzer software. Here's what we found out about the company, and how IdealSpot helps businesses succeed by finding the ideal location.
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
Presentation for the Barcamp Nashville 2009 "Un-conference" - October 17, 2009 - "Counting Your Chickens - Analytics for Small Business" - panel discussion from members of the Analytics Committee, Nashville Technology Council - http://technologycouncil.com
Machine learning is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning to increase sales efficiency and to increase margins and revenue.
This deck was used in the guest lecture delivered by Ganes at the Rutgers Business School, New Jersey, on July 7th, 2021. These slides were supplemented with a live business case that was used for the class discussion.
Marketing Data Renovators Guide: 10 Steps to Prime Your B2B Database for Anal...Shelly Lucas
What do a fixer-upper and your marketing database have in common? More than you think. Learn 10 clear steps for making your database analytics-ready in this e-book.
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
The Value of Data Governance & Performance MeasurementObservePoint
Driving growth requires collecting accurate, complete customer data and using that data to improve customer experiences and generate new revenue. So what do you do if your data is untrustworthy or incomplete?
In this tip sheet, The Value of Data Governance & Performance Measurement, you'll learn how you can leverage automated data governance and performance measurement to:
- Ensure data is standardized, unified, and validated—so that nothing slips through the cracks
- Test critical pathways to ensure quality experiences on your site
- Track end-to-end customer journeys for holistic insights
- Implement ongoing data validation and sophisticated attribution to drive growth
Government Contact Center Council (G3C) meeting, June 12, 2014
Rosetta Lue
City of Philadelphia, Office of the Managing Director’s Chief Customer Service Officer
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Calculating the ROI on investing in data products?
Analytics return $13.01 for every dollar spent, according to Nucleus Research. That’s a 13:1 ROI for you, and for your customers when you offer embedded analytics in your SaaS solution. Check out this guide to learn more about the benefits of buying vs. building, and how GoodData customers like Influitive and Demandbase are achieving upwards of 650% ROI.
In the recent past, we have learnt that data is the lifeline of any business and it is really important to collect data, more and more of it. But no one is telling us what to do with large volumes of data.
Shailendra has successfully delivered over One Billion Dollars in incremental value and will spend 30 minutes in showcasing how many large organisations are using data to their advantage by creating value through generating incremental revenue and optimising costs using analytics techniques.
Key Takeaways:
(i) Demystify the myths of analytics
(ii) Walkthrough a step-by-step approach to delivering successful projects that created an incremental value of hundreds and millions of dollars.
(iii) Three use cases where large organisations are using analytics to their advantage by creating value by generating incremental revenue and optimising costs.
Fuel for the cognitive age: What's new in IBM predictive analytics IBM SPSS Software
IBM recently launched an updated version of its predictive analytics platform. Explore the latest features, including R, Python and Spark integration and more powerful decision optimization.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
Revenue Operations Analytics: A Strategic BlueprintKwanzoo Inc
The true value in your KPIs is understanding how they complete the bigger picture of the customer journeys that drive the most impact for your business.
Few companies realize the full benefits of analytics initiatives to improve the customer experience. Here's a six-step guide for moving beyond operational reporting to enabling predictive insights.
5 tips als je nu wilt starten met digital marketing analyticsAvanade Nederland
Uit onderzoek van de DDMA blijkt dat 47 procent van de Nederlandse ondernemingen het onderbuikgevoel en ervaring als belangrijke factoren zien in het besluitvormingsproces. Maar liefst 90 procent geeft daarnaast aan dat marketeers meer en meer kennis in huis moeten hebben op het gebied van data, dataverzameling en data analyse. Hoe ga jij als digital marketeer hiermee aan de slag? Wij geven jou 5 tips om vandaag nog aan de slag te gaan met digital marketing analytics. Daarnaast gebruiken we praktijkvoorbeelden om je te laten zien hoe je met analytics nieuwe afzetmarkten en doelgroepen kunt ontdekken.
How the World's Leading Independent Automotive Distributor is Reinventing Its...NUS-ISS
In this captivating session, we'll unveil the profound impact of AI, poised to revolutionise the business landscape. Prepare to shift your perspective, as we transition from the lens of a data scientist to the visionary mindset of a product manager. We're about to demystify the captivating world of Generative AI, dispelling myths and illuminating its remarkable potential. We will also delve into the pioneering applications that Inchcape is leading, pushing the boundaries of what's achievable. Join us for an exhilarating journey into the future of AI, where professionalism meets unparalleled excitement, and innovation takes center stage!
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
Similar to 9 Myths That Keep Customer Experience Data Locked in the Server Closet (20)
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
9 Myths That Keep Customer Experience Data Locked in the Server Closet
1. 9 Myths That Keep
Customer Experience
Data Locked in the
Server Closet
2. Eighty percent of companies say they’re collecting enough data to measure
business performance, but studies show only six percent are extremely satisfied
with their ability to use consumer engagement data. Are you still using
spreadsheets? ink it’s too complicated to make the jump to integrated analytics?
We think not. Here are the top 9 myths debunked.
80% OF COMPANIES SAY
THEY’RE COLLECTING
ENOUGH DATA TO
MEASURE PERFORMANCE
6% OF COMPANIES ARE
EXTREMELY SATISFIED
WITH THEIR ABILITY
TO USE DATA
3. SIZE MATTERS
You need to have thousands of seats to
make analytics worth it.
1.
Even the smallest contact centers can take advantage of
the data they’re gathering with cost-eective, scalable
solutions. Create insight and discover the most important
metrics for your business – whether you have five seats
or 50,000.
4. INFORMATION OVERLOAD
2. You’ll have too much data.
You’re already collecting the data, and analytics can
liberate it from the server closet, providing incredible
insight into the customer experience. Find out how your
agents are doing and truly measure the voice of the
customer with analytics
5. KNOW IT ALL
3. You already know what’s happening.
Even if your gut is right a majority of the time, analytics give
you the power to see and know more. Uncover emerging
trends or simply use hard data to back up your instincts.
Don’t guess; get the directional guidance from analytics and
make data-driven decisions to drive real business results.
6. You have to create order and solve
everything right away.
4.
COMPLETE PICTURE
e easiest way to implement analytics is by starting with
the information you already have, and oen for QM and
compliance. Once you’ve made the early wins in these
areas, you can make the case for more integrated analytics
across the enterprise.
7. MULTIPLE PLATFORMS
You need disparate solutions for dierent
types of analytics.
5.
Speech, text and desktop require multiple systems, right?
Wrong! e right solutions exist that bundle all the analytics.
8. You have to spend eight months and
deplete resources to implement analytics.
6.
TIME CONSTRAINT
Analytics can be turnkey, ecient to deploy and simple to
turn on. Solutions today are ready-made to integrate with
your existing infrastructure and ACD. And deployment
takes days, not months.
9. You have to struggle with a complicated,
confusing interface.
7.
OVER ENGINEERED
e beauty of analytics is they bring order to chaos and
present information through a simple visual interface – built
by data scientists and designed for real people. Empower
your team with the right data and drive performance.
10. ROBOT CITY
8. You will start replacing people.
Customer service analytics are meant to fuel human
interactions, not replace them. Find the tools designed to
empower the people in your contact center, giving them
the data they need to improve and accelerate.
11. You need to hire highly trained data
scientists to work with the information.
9.
NUMBER MUNCHERS
Leading contact centers gauge the eectiveness of their tools
by identifying what metrics can measure performance.
Customer retention, Net Promoter Score, first call resolution:
truly evaluate which KPIs drive business performance and
elevate the results all the way to the C-suite.
12. 17.8% INCREASES IN CUSTOMER
SATISFACTION RATES
FOR “LEADERS”
3.9% DECREASES IN CUSTOMER
SATISFACTION RATES
FOR “FOLLOWERS”
All myths aside – it’s about creating business value with analytics, and the top 30%
of contact centers embracing workforce optimization technology and analytics
enjoy 17.8% increases in customer satisfaction rates year over year, compared to a
3.9% decrease by the rest. (e Aberdeen Group, Omer Minkara, May 2014)
Analytics in the contact center are proven to drive KPIs across key metrics
including first call resolution, cross promotions and overall customer satisfaction.
13. According to Aberdeen, companies with strong “voice of the customer” analytics:
IMPROVE THEIR ANNUAL REVENUE BY 10.9%
YEAR-OVER-YEAR.
DECREASE THEIR CUSTOMER CARE COSTS BY 6.3%
YEAR-OVER-YEAR (VS. A 2.0% ANNUAL INCREASE FOR
THOSE THAT DON’T).
ENJOY YEAR-OVER-YEAR IMPROVEMENTS TO THEIR NET
PROMOTER SCORE 3X GREATER THAN THOSE THAT DON’T.
14. At Calabrio, we’re committed to accelerating
business performance in the contact center
by creating analytics solutions for everything
and everyone. But you can start small to
gain big results.
Forget about the myths and find out how
analytics are driving the next generation of
customer experience today.
www.calabrio.com