PoT - probeer de mogelijkheden van datamining zelf uit 30-10-2014Daniel Westzaan
IBM Proof of Technology
Probeer de Mogelijkheden van Datamining zelf uit
30-10-2014 Amsterdam, IBM Client Center
Presentatie van Laila Fettah & Robin van Tilburg
Data Quality Analytics: Understanding what is in your data, before using itDomino Data Lab
Analytics and data science are ever growing fields, as business decision makers continue to use data to drive decisions. The pinnacle of these fields are the models and their accuracy/fit,; what about the data? Is your data clean, and how do you know that? Our discussion will focus on best practices for data preprocessing for analytic uses. Beginning with essential distributional checks of a dataset to a propose method for automated data validation process during ETL for transactional data.
Predictive Analytics: An Executive PrimerRyan Withop
An Executive Overview of what Predictive Analytics is and where it can benefit SaaS businesses, with concrete examples of how we actually used these techniques at YouSendIt. Very handy set I've used to introduce new C-level Execs to optimizing their business based on actionable analytics.
PoT - probeer de mogelijkheden van datamining zelf uit 30-10-2014Daniel Westzaan
IBM Proof of Technology
Probeer de Mogelijkheden van Datamining zelf uit
30-10-2014 Amsterdam, IBM Client Center
Presentatie van Laila Fettah & Robin van Tilburg
Data Quality Analytics: Understanding what is in your data, before using itDomino Data Lab
Analytics and data science are ever growing fields, as business decision makers continue to use data to drive decisions. The pinnacle of these fields are the models and their accuracy/fit,; what about the data? Is your data clean, and how do you know that? Our discussion will focus on best practices for data preprocessing for analytic uses. Beginning with essential distributional checks of a dataset to a propose method for automated data validation process during ETL for transactional data.
Predictive Analytics: An Executive PrimerRyan Withop
An Executive Overview of what Predictive Analytics is and where it can benefit SaaS businesses, with concrete examples of how we actually used these techniques at YouSendIt. Very handy set I've used to introduce new C-level Execs to optimizing their business based on actionable analytics.
Five Pitfalls when Operationalizing Data Science and a Strategy for SuccessVMware Tanzu
Enterprise executives and IT teams alike know that data science is not optional, but struggle to benefit from it because the process takes too long and operationalizing models in applications can be hairy.
Join guest speaker, Forrester Research’s Mike Gualtieri and Pivotal’s Jeff Kelly and Dormain Drewitz for an interactive discussion about operationalizing data science in your business. In this webinar, the first of a two-part series, you will learn:
- The essential value of data science and the concept of perishable insights.
- Five common pitfalls of data science teams.
- How to dramatically increase the productivity of data scientists.
- The smooth hand-off steps required to operationalize data science models in enterprise applications.
Presenter : Guest Speakers Mike Gualtieri, Forrester, Dormain Drewitz and Jeff Kelly, Pivotal
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
Business Data Analytics Powerpoint Presentation SlidesSlideTeam
Enthrall your audience with this Business Data Analytics Powerpoint Presentation Slides. Increase your presentation threshold by deploying this well crafted template. It acts as a great communication tool due to its well researched content. It also contains stylized icons, graphics, visuals etc, which make it an immediate attention grabber. Comprising twenty nine slides, this complete deck is all you need to get noticed. All the slides and their content can be altered to suit your unique business setting. Not only that, other components and graphics can also be modified to add personal touches to this prefabricated set. https://bit.ly/3d4gdzY
Operationalizing Data Science: The Right Architecture and ToolsVMware Tanzu
In part one of this two-part series, you learned some of the common reasons enterprises struggle to turn insights into actions as well as a strategy for overcoming these challenges to successfully operationalize data science. In part two, it’s time to fill in the architectural and technological details of that strategy.
Pivotal Data Scientist Megha Agarwal will share the key ingredients to successfully put data science models in production and use them to drive actions in real-time. In this webinar, you will learn:
- Adopting extreme programming practices for data science
- Importance of working in a balanced team
- How to put and maintain machine learning models in production
- End-to-end pipeline design
Presenter: Megha Agarwal, Data Scientist
Gather the required information from the data and predict future outcomes and trends. Use content-ready Predictive Analysis PowerPoint Presentation Slides to forecast future probabilities. Majorly applied in the business field, predictive analysis PPT templates will help you evaluate current data and historical facts to understand customers, products, services, partners, and to identify potential risks and opportunities for an organization. This deck comprises of templates such as research methodology, consumer insights consumption, need for consumer insights, key stats, data collection and processing, consumer insight capabilities, These templates are completely customizable. You can edit the templates as per your need. Change color, text, icon and font size as per your requirement. Add or remove the content, if needed. Get access to the predictive analysis PowerPoint presentation slideshow to predict future outcomes for various business topics such as customer relationship management, health care, collection analytics, fraud detection, risk management, direct marketing, industry applications, etc. Get access to the professionally designed ready-made predictive analysis PowerPoint presentation slides for your business to interpret big data for your benefit. Maintain your demeanour with our Predictive Analysis Powerpoint Presentation Slides. They will help you keep your cool.
Business Analytics, "Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.
How difficult should it be to use analytics? IBM thinks it should be as easy as using an app, so they have introduced IBM Watson Analytics. Learn more in this presentation.
Five Pitfalls when Operationalizing Data Science and a Strategy for SuccessVMware Tanzu
Enterprise executives and IT teams alike know that data science is not optional, but struggle to benefit from it because the process takes too long and operationalizing models in applications can be hairy.
Join guest speaker, Forrester Research’s Mike Gualtieri and Pivotal’s Jeff Kelly and Dormain Drewitz for an interactive discussion about operationalizing data science in your business. In this webinar, the first of a two-part series, you will learn:
- The essential value of data science and the concept of perishable insights.
- Five common pitfalls of data science teams.
- How to dramatically increase the productivity of data scientists.
- The smooth hand-off steps required to operationalize data science models in enterprise applications.
Presenter : Guest Speakers Mike Gualtieri, Forrester, Dormain Drewitz and Jeff Kelly, Pivotal
This presentation was part of the talk delivered by T Ashok Founder & CEO STAG Software at the HSTC 2013: "Think Testing" Conference on Nov 21 & 22 at Hyderabad.
Business Data Analytics Powerpoint Presentation SlidesSlideTeam
Enthrall your audience with this Business Data Analytics Powerpoint Presentation Slides. Increase your presentation threshold by deploying this well crafted template. It acts as a great communication tool due to its well researched content. It also contains stylized icons, graphics, visuals etc, which make it an immediate attention grabber. Comprising twenty nine slides, this complete deck is all you need to get noticed. All the slides and their content can be altered to suit your unique business setting. Not only that, other components and graphics can also be modified to add personal touches to this prefabricated set. https://bit.ly/3d4gdzY
Operationalizing Data Science: The Right Architecture and ToolsVMware Tanzu
In part one of this two-part series, you learned some of the common reasons enterprises struggle to turn insights into actions as well as a strategy for overcoming these challenges to successfully operationalize data science. In part two, it’s time to fill in the architectural and technological details of that strategy.
Pivotal Data Scientist Megha Agarwal will share the key ingredients to successfully put data science models in production and use them to drive actions in real-time. In this webinar, you will learn:
- Adopting extreme programming practices for data science
- Importance of working in a balanced team
- How to put and maintain machine learning models in production
- End-to-end pipeline design
Presenter: Megha Agarwal, Data Scientist
Gather the required information from the data and predict future outcomes and trends. Use content-ready Predictive Analysis PowerPoint Presentation Slides to forecast future probabilities. Majorly applied in the business field, predictive analysis PPT templates will help you evaluate current data and historical facts to understand customers, products, services, partners, and to identify potential risks and opportunities for an organization. This deck comprises of templates such as research methodology, consumer insights consumption, need for consumer insights, key stats, data collection and processing, consumer insight capabilities, These templates are completely customizable. You can edit the templates as per your need. Change color, text, icon and font size as per your requirement. Add or remove the content, if needed. Get access to the predictive analysis PowerPoint presentation slideshow to predict future outcomes for various business topics such as customer relationship management, health care, collection analytics, fraud detection, risk management, direct marketing, industry applications, etc. Get access to the professionally designed ready-made predictive analysis PowerPoint presentation slides for your business to interpret big data for your benefit. Maintain your demeanour with our Predictive Analysis Powerpoint Presentation Slides. They will help you keep your cool.
Business Analytics, "Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.
How difficult should it be to use analytics? IBM thinks it should be as easy as using an app, so they have introduced IBM Watson Analytics. Learn more in this presentation.
To effectively leverage the power of rich visualizations in making data-driven decisions, you must significantly reduce front-end data preparation time.
In order to create visualizations that lead to answers quickly, you need to prepare your data in the right way. Together, Alteryx and Tableau can help. This paper will show you how.
In2In Global is a global data transformation service provider, leveraging best quality of data transformation and enrichment solutions like Data profiling, Cleansing, Normalization, Classification and effective actionable Insights in fully automated and consulting approaches.
How much time do you spend mashing up web analytics data vs. looking for data insights? Your Analytics Site automates the data extraction form multiple marketing channels, including WebTrends, Google Analytics, Twitter, YouTube, Slideshare and Flickr with more be added. Each dashboard is customized to satisfy each clients specific business needs. What you get, one cohesive, actionable and visually interactive reporting mechanism for your all your analytics.
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.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
Most companies have data in various sources. Often, they do nothing but store the data because it takes too much time to make sense of it all. Taking control of the data is a process, but once the building blocks are in place a true Demand Signal Management Process will support an enterprise with reliable business insights.
How to successfully implement Business Intelligence into your organisation.
A completely agnostic and independent view from a market leader in delivering technology transformation.
Details on how to build a strategy to successfully execute on and more importantly how to get the business to adopt Business Intelligence into their day to day role.
Essential tool kit for any organisation looking to invest in Business Intelligence.
The Fundamentals of Business Intelligence is a comprehensive overview of data and data analysis. The guide explains the types of data available to businesses and how these data types work with one another to provide insights to large companies. Look beyond the hype of big marketing to understand the role of all types of data and understand what big data is in the right context.
London Jaspersoft Community User Group Event 2 KETL presentationKETL Limited
This is the presentation given by Business Development Manager Helen Woodcock from KETL at the second London Jaspersoft Community User Group event. Exploring the importance of creating the right data quality KPIs in your data warehouse environment prior to focusing on BI reporting.
Talend Community Use Group Bristol: Preparing your business for mastering dat...KETL Limited
This is the slide deck from the January 2016 Talend Community User Group Bristol hosted by KETL. The deck is from the presentation from Helen Woodcock on preparing your business case for MDM and Josh's worksheets for preparing a basic Talend look up table.
London Jaspersoft Community User Group presentation KETLKETL Limited
This is the introduction to the first London Jaspersoft Community User Group with some background on the new Talend Spark streaming and batch processing capabilities.
Marketing Network presentation: Why marketers need to be concerned with data ...KETL Limited
The Marketing Network, Bristol Bath Cardiff, lecture on data quality, how to profile data and then create a strategy to improve data quality to then enable more accurate data insight.
Talend community user group Bristol: commercial versus community versionKETL Limited
This is the presentation given by Ian Cray, Talend trainer and Director of Talend Gold Integration Partner KETL Limited at the Talend community user group Bristol UK. The event was held on Thursday 1st October 2015. For more details please visit www.ketl.co.uk
Talend community user group Bristol & SW UK eventKETL Limited
This is the introductory presentation from our second Talend community user group Bristol event held in June 2015. Speakers include Ian Cray, Director of KETL Limited, Mike Newens, AgeUK and Brad Flemming Talend. Mike from AgeUK presented the charity's case study in adopting Talend as a data cleaning and profiling tool for their CRM data.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Business update Q1 2024 Lar España Real Estate SOCIMI
KETL Quick guide to data analytics
1. Quick guide to
data analytics
How to turn your data assets into customer
insight to add value to your buiness
2. Quick guide to data
analytics
1
“Generate insight from
your data with 6 top
tips plus a case study:
start thinking like a
data scientist.
1. You already know more than you think
You probably already have a good idea of what
you think is right and wrong with key areas of your
business. You might even have something
specific that you want to investigate. Just be
prepared to learn as you go.
2. Get to know your data sources
Start with a single data source that your business
already knows really well. Check for obvious
errors in your data. If you have a realtively small
amount of data you can do this simply by
exporting to a spreadsheet. The most efficient
way is to profile you data. You can use a free data
profiler tool to create a report on how well your
data source rates on different data quality scales.
You can then make a value based decision on
how much to invest in correcting the poor data.
See our free data quality fact sheet for more
information on data profiling.
You want to get your data to work harder
for you and to be able to use the ‘data
lake’ of cusotmer information that you
have stored; but you don’t know where to
start or what questions to ask. These tips
will help you to consider where to start
gathering that valuable insight.
”
“Profile the data from
each new source
before you introduce
it into your analytics
reporting structure. As
your understanding
improves across each
data source you can
start to consider
blending the data
between the data
sources.
”
3. Quick guide to data
analytics
2
This might sound
strange but it is
important to be
prepared to get
things wrong. A
scientist creates a
hypothesis that is then
tested through
experimentation.
“
3. Keep it simple when you can
If you already have reports from separate
systems and you can compare the report outputs
easily then you don’t need to integrate the data at
source you could perhaps just produce an Excel
spreadsheet.
Gaining an understanding of just what you can
glean from the data available with the tools at
hand is important and controls the scope of
demands for reports from the wider business.
Using systems that are already in place is the
best way to start. The business may well learn so
much from these first inroads into data analytics
that it decides to invest further to gain more
insight.
4. Think like a scientist
IWhen you fail you learn more than when you
succeed. Fact based evidence leads to a
working theory that can then be used to create a
conceptual framework.
As a data scientist your aims are to understand
the relationships between the data in your
organisation. You may start off with a hunch
about a particular business issue; so consider
what data sets surround the business issue
process and then test your theories. Just
remember to document the entire journey. ”
It isn’t always
necessary to merge
data sources and
sometimes it just isn’t
possible.
“
”
4. Quick guide to data
analytics
3
5. Fail fast, fail cheap
Analytics is a fast moving process and it is all
about experimenting, documenting, learning and
then moving on. Once the learning has taken
place, the analyst can share the findings with the
wider business, then move on to the next
analytics project.
6. Data specialists need to get out more
Get the analytics team out to the different
business departments and out to the customer so
that they can be aware of data related issues and
witness impact. Always remember that your data
is your competitive advantage – it is a key asset of
your business.
“By using your own
customer data you
will be able to
create more
accurate models
that provide
meaningful insight
to your own
business processes.
”
Next step data analytics
Here at KETL we are a data integration partner
with TIBCO Spotfire - a powerful data analytics
tool. Each week the Spotfire team provide a new
demo for visitors to explore. The advantage of a
tool like Spotfire is that you can have a central
analyst that creates the analytics environment that
can then be used by multiple business teams who
are not trained analysts.
http://spotfire.tibco.com/solutions/technology/big-
data
5. Quick guide to data
analytics
4
Case study
An online retail call centre based in South
Wales. The call centre can easily track call
volumes to establish the busy periods for their
Customer Service Agents (CSAs) so then they
decide to develop their reporting by measuring
call volume by length of call and start to track if
there are patterns developing on length of calls at
particular times of day.
They use date and time, as these data elements
will be constant in each of their data source
systems. The telephone software they use also
has a good reporting system that the business is
comfortable using.
Now the business decides it can match the stock
inventory against the call centre volumes to get
an impression of the number of calls per sale, the
number of items per sale and the value of each
sale.
So even though the two systems are not
integrated they are able compare the data from
each source to plot productivity over different
departments over one day. With this information
the business is then able to establish measures
of activities against each department.
6. Quick guide to data
analytics
5
Immediate gain
1. The business insight that has been gained
allows the business to plot trends across its
departments.
2. Once the business identifies these daily
measures it can then make progress on how to
make improvements by assigning Key
Performance Indicators (KPIs).
3. Putting in an analytical process that is making
use of systems already in place is almost always
less expensive than creating new data
warehouses.
Learning
The business realises through the data profiling
exercise that there are frequent input errors made
by the call centre CSAs. Although the codified
data input errors can be resolved quite easily, it is
not so straightforward with free text.
If the customer service CSAs have a data entry
screen to input free text but then they forget to
code the complaint it will be difficult to analyse
and learn from this vital customer interaction.
Data input errors can be rectified through better
entry code design in consultation with the CSAs.
What you can do next
is download your own
copy of The Essential
Guide to Better Data
from ketl.co.uk
We also can offer
small workshops or
information evenings
to help you and your
team to learn more
about data analytics.
please email
helen@ketl.co.uk for
more information.
“
”
7. Quick guide to data
analytics
6
Get in touch
For further information or help with your
data analytics project speak to Helen to see
how we can help >
Helen Woodcock
helen@ketl.co.uk
Illustration www.thirteen.co.uk