Lack of Data Blending Capability
is Costing Time and Money
Data analysts are chronically underserved
by the traditional approach to
accessing the right data for analytics.
We surveyed over 200 analytics and business leaders across industries
and found that the challenges preventing analysts from using the right data
for analytics is having a material impact on organizational success.
The traditional
model for
analytics:
A centralized team of specialists takes requests for data
or specific analysis.
Request goes into a work queue, and often there are not
enough resources to handle demand.
Responses delivered when the team gets to that request,
which can takes days or weeks.
2.5 million
analysts
worldwide are
working with
an inefficient
and antiquated
model.
The model is
no longer
sustainable
Analysts need a better way
to support critical decision-making
within their organizations
Decision makers are relying on analyst insights for guidance. They need
information faster than ever before, and often within very tight timelines.
Even so, most analysts still rely upon inefficient methods – like linked
spreadsheets, custom SQL, or simply waiting for someone else – in order
to produce what is needed.
What are the top three
business areas where
analytics are used?
Analyst insights are
most often used to
drive a direct impact
on revenue and
profitability
Sales
21%
Marketing
34%
Operations
17%
Reduced Return
on Investments
Missed Sales
Opportunities
25%
37%
Business
Area
Impact
Increased
Costs
Other
11%
Lost Out to
Competitors
9%
18%
Delays in getting
and producing data
are causing real
business problems
Organizations cite that not having the
data they need delays business insights,
which, in turn, causes a negative
business impact.
The biggest challenge analysts face:
Accessing the right data quickly enough
72%
90%
are not satisfied
cite challenges
with how long it takes
to get the results they need
72%
with data blending as the cause
Organizations want insight in hours or less,
not weeks or days
What is the preferred timeframe to get insights?
Seconds
14%
Minutes
37%
Hours
35%
What are the top four
barriers analysts face?
52% have to
37% have to wait
use too many tools and
processes to get data
for another department
to get data
30% can’t
18% don’t have skills
access the data
to get the right data set
Why does it
take so long
to get the data?
Organizations know the
barriers to getting the right
data are related to their
analysts not being empowered
by tools and processes.
The ability to create the right
analytics at the right time matters
The environment in which analysts work is often complex.
The leaders of these organizations are looking to improve daily
operations and drive strategic investments. Quality data is
required to make these important decisions. Analysts are faced
with both ad hoc and project-based analytic requirements.
Alteryx provides analysts with an intuitive workflow for data
blending and advanced analytics that leads to deeper insights
in hours, not weeks.
Despite all the work to unify data, the information
analysts need is rarely in one place
How many data sources
do organization use?
Only 6%
of organizations
have all their data
in one place
2-4 sources
31%
5-10 sources
40%
10-15 sources
9%
over 15 sources
13%
Alteryx is focused on helping business analysts
create the specific dataset needed, without
relying on others
Because the data needed to answer
a business question is rarely in one
place, Alteryx provides access to
multiple sources. Alteryx users can take
advantage of data in existing systems of
record, like a data warehouse, but then
blend it with data on their desktop, in
cloud systems, or even from big data
systems, such as Hadoop.
Alteryx data
blending
capabilities are
just as powerful
as those found
in production
Data Integration
tools
We provide these capabilities through an intuitive
workflow which can be used by analysts in sales,
operations or finance — no coding or specialist
skills required.
Data access and integration
Data transformation
Data cleansing
Data enrichment
Access to structured, unstructured,
& semi-structured data
Data Blending opens up new opportunities
for analysts to:
Prepare data for
predictive modeling
without coding
Add spatial context to
data for location-specific
decision-making
Access new types of data
to create deeper insights
With these
improved
capabilities
data analysts
can now:
“A manual process that took days
to scrub a list of prospects against
CNA current and past insurers data
can now be done in minutes.”
– CNA Insurance
Deliver insight fast enough
to take advantage of
business opportunities.
Shift from spending over
65% of their time preparing
data, to analyzing it.
Release IT from the burden
of iterative data requests,
making IT happy!
Empowered
analysts deliver
greater value.
For analysts to be
successful they must:
“I downloaded an Alteryx trial
and almost immediately found a
process that would’ve taken me 25
minutes under our old architecture
took less than 5 seconds.”
– Michael Barone,
Predictive Modeling Analyst, Paychex
Be empowered by their
organizations to blend their
own data – a cultural shift that
will have big returns
Have access to the data
sources they need.
Alteryx works with existing
data access and security
implementations
Have permission to learn new
approaches so they can get
the right dataset without long
hours of frustration
Empowered analysts who
can access all the data they
need, when they need it
Single intuitive workflow
for a complete data blending
& advanced analytics process
Deeper business insight
that can be achieved
without relying on others
Alteryx delivers
on the three
things analysts
need most
Alteryx provides an intuitive
workflow that delivers data
blending and advanced analytics
in hours, not weeks.
86% of Alteryx
users deliver
business value
in their first week
of using the product
See for yourself:
Download the Alteryx 14-day trial at www.alteryx.com/download
Data Blending and Advanced Analytics
More than 700 customers and
thousands of data analysts worldwide rely on Alteryx daily.
alteryx.com/datablending