PowerPoint-Prsentation
Analytics at the source: 10 Things you need to know about data
analytics in 2017
Presented by: Tom Becker, Sr Director DACH, Alteryx
Hello, I would like to you about 10 Things you need to know
about data analytics in 2017.Why me and why data analytics?
because thats we make. Data Analytics I am the Senior Director
for Alteryx in DACH, responsible to build a team to support our
customers in Germany, Austria and Switzerland.
So what is it Alteryx is doing?1
Prep, blend, and analyse all your data using a repeatable
workflow
Deliver deeper insights in hours, not weeks
Deploy and share analytics at scale
It will be great you will love it. Alteryx is great and the
leader in self-service data analytics. We have a lot of tools that
provides analysts with the unique ability to easily prep, blend,
and analyze all of their data using a repeatable workflow, then
deploy and share analytics at scale for deeper insights in a much
shorter time. Analysts love it. Its great - they can connect to and
cleanse data from data warehouses, cloud applications,
spreadsheets, and other sources, easily join this data together,
then perform analytics predictive, statistical, and spatial using
the same intuitive user interface, without writing any code. No
code- people love it. Its great.2
The Business Grammar Reporthttp://www.alteryx.com/resources
So why do we have 10 top facts for because we asked for.
We asked more than 500 European leaders about their view on data
and analytics. And as we all heard that data is the new oil we
think their answers can be seen as the grammar for business in the
next years. You can read the report on your own at our website but
I condensed the 10 most important facts for you in this
presentation.3
96% use data and analytics to inform business decisions
today.
Lets start. As I said we asked more than 500 manager to share
their thoughts about data and analytics and 96% reported that they
use data and analytics WOW 96%
If this is our number one fact from the report you maybe dont
want to read it!
Just kidding lets dig a little deeper
4
In your current role, do you use data and analytics to
2016 Alteryx, Inc. | ConfidentialDownload a FREE Trial:
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I think we can use this as justification and proof that we
interviewed the rigt people 67% are making decisions in their role,
another 29% are supporting other roles.5
How important will data analytics for decision making be two
years from now?
And they also reported that the importance of data anayltics
will even rise data is important already analytics will be more
important in the future.
So why is analytics so important? As data becomes more and more
complex as more you need to bring it in the right format to get
answers out of it. And one expresssion for complexity could be the
number of data sources people need to use6
46% reported that they use data from more than 5 separate
sources for decision making.
So our number two is - 46% reported that they use more than 5
separate sources for their decision making. How about you?Lets play
a game. How many of you use data at all? Please stand Up.How many
have it in one place? Please sit down2-4?5-910-15More than 15
Thanks. Lets compare to our 500 business leaders:
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How many sources of data does your team need to draw on to make
these decisions?
26% reporting that they have all in one place. Can this be true?
I am in the industry for more than 12 years now and most of the
datawarehouse projects I have seen or heard of failed. Simply
failed. At least they never came to a point where all the data was
consolidated in this one database. People are using data sources
like Excel, departmental data sets or open data to make their
decisions. So there is a need to connect to all this data sources
prep them and blend them together.
even when they managed to reduce the places there is still the
need to prep the data and to analyse.8
Excel still the main source of data for analytics (58%).
Our number three is about the source of data. What are the data
sources the most data resist in?Excel is still the dominant
datasource. The DWH are just one of the sources following that.
What are your datasources you are using?
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Which of the following systems, applications, and data sources
do you or your team use for your data analysis?
A a lot of the data is already in excel, Excel is also used as
dominat tool for data analytics. But you cant explore the unknown
unknowns with it.Even if there are better tools to explore data,
people feel confident with Excel, because they know it. But people
are dependent on excel also for tasks, Excel is not build for.
So to give you more insights into this numbers, 48% in the age
from 16-29, the milleniums, use Excel for data analytics, but as
older people are, as more us it, up to 68% for the oldest
group.10
79% of business leaders would offer a higher salary to someone
who is data proficient.
Number 4: become data proficient and get better paid.
79% of business leaders would offer a higher salary to someone
who is data proficient
But what is data proficient?Its not technology proficient, its
understanding the data of the industry you are in.Marketieers for
example got an analytical mindshift to translate numbers into
actions.10-15 years ago it was about working the first time with
tools like salesforce.com, but this is now common sense.And in 10
years we wont talk about putting data proficient on your cv,
because this will be normal for all growing up.
By the way its up to 37% business leaders are paying more.11
88% believe that data analytics should be a compulsory part of
all MBA Programmes.
Given the fact we talk about MBA I wonder why still 20% in
Europe dont believe that data analytics should be a compulsory part
of all MBA Programmes, 88% do in Germany.But also here, what is
data analytics?Its not a pie chart or a bar chart, its
understanding data.
Of course we will see this already learned at school in the
future, and more than that we will also see more statistical and
programming skills than today. But this will be the next
generation, so we need to fix current skill gaps. Therefore data
analytics is a compulsory part of MBA programs.
We see this also at board meetings from our customers. 15 years
ago nobody knew the name of the back office analyst. Now they have
a name and are in the center. Its not just the final powerpoint
presentation but interactive sessions with detailed and adhoc
questions.
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59% of the managers ranked data analytics skills higher than a
second language
No 6: 59% say that data analytics skills are more important than
a second language, not only in the UK and France, it would be
obvious there- but also in the Nordics and even in Germany. Only
28% voted a second language as one of the two most important skills
over analytics skills.
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Only 29% of those surveyed are using self-service analytics
tools today.
I work for a self-service analytics vendor, so I think everybody
is breathing it. But it seems not: only 29% of those surveyed are
using self-service analytics tools today what a great opportunity
for us.In a lot of enterprises IT is still concerned about
governance and security. So only a few push through the data and
also a few build the reports officially.
The rest the rest is using Excel!
But with the upcoming of modern BI vendors like Qlik and Tableau
we see that governance and security can go hand in hand with
Self-Service. Much better the shadow IT tools like Excel used
without any governance and error-prone.
And looking at question number 3 again- as more data sources you
have, you more likely need a self-service tool beside and beyond
Excel.
We are not there yet everywhere but also BARC puts self-service
data preparation as part of data analytics on their hot topic list
for 2017
Of course its also a question how you interpret self-service
analytics.
For some users even the modern tools are only dashboards still
not able to make advanced analytics or prepare data on your own
with more insight.We need to encourage the people to believe in
their strengths. And we have to be careful not to overemphasize Big
Data trends or machine learning but to start with the data people
are working with on their daily base.14
Incomplete data for decision making is the biggest problem
41%.
And to the point of Big data. People get drawned in data already
in their daily work. 41% reporting incomplete data as the biggest
problem.15
What is the biggest problem you face in getting the data you
need to make decisions?
67% are reporting it gets better every year, but there are still
a lot of other problems they are facing:It takes too long to pull
the data togetherThe data has errors and inconsistencies that need
to get fixed and cleared.The data needs to get blended together
And on top of that there is no tool to do more advanced
analytics after the whole process is started.16
Use of Data Visualisation France leads the pack: 50% vs 38%
Germany.
So the final two a real surprise: This is the first time I see
France leading in any technology review and this by far
Use of Data Visualisation 17
Use of Data Visualisation
As these are customer feedbacks there is still the chance of
another interpretation of visualisation but it also shows again
that answering business question is not always a pie chart or bar
chart. Of course visualisation is a big engine for self-service
initiatives in enterprises but sometimes its a simple number
calculated right. France 50%, Germany 38% and Denmark 24%18
IT still in charge of business data (42%) but departmental
leaders are making more of these decisions 30%.
Our number 10: IT is still in charge of business data with 42%,
in Germany even higher - but departmental leaders are making more
of these decisions 30%.
There is a shift in the way IT is supporting the business but
still in charge of the business data. Anyhow we see the model
changing to a partnership approach starting from tools to
architecture and transform the data landscape to digital
tranformation.
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Who in your organisation makes decisions about how data is
accessed, integrated and analysed?
We dont see a black and white anymore and there are good reasons
for centralized, IT based data processes like data access and
integration for a lot of data sets. And we also know that some
people are still afraid to work with data on their own. So
centralized data analytics and dashboards is the best solution for
them.
Anyhow the democratization of data has begun and will be
supported by more and more enterprises
Its not the skill its the tools you are using. Make sure to work
for a company using this kind of tools. Ours is great, we will make
you great again.
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Questions? Lets talk! Tom BeckerSr Director,
[email protected]
Julijana SaveskaRegional Marketing Manager WE & DACH
[email protected]
Andreas LeichtleSr Account Executive
[email protected]
We still have some time left so: Do you have questions?
You can find the business grammar report on our website so
please visit www.alteryx.com or talk to us later this evening.
Reach out to Julijana or crazy Andi, not sure he is wearing the
suit today.21
