Data integration infographic · 3- The Importance of Data Quality -- Good, Bad or Ugly”,...
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80% of organizations have to integrate information from 6 or more sources (2) 2 3 Enterprises generate a large amount of data from varying sources to execute their daily operations, including: Each source plays a vital role in the pool of data, which when consolidated, can be analyzed to reveal strategically vital information. t n e r e ff i d m o r f g n i r r u c c o a t a d n o s e s y l a n a g n i t c u d n o c n i s i e g n e l l a h c e h T sources and locations, each with its own unique formatting standards. The increase in the number of sources can make the process time-consuming and labor-intensive. 2/3 organizations said their current technology for providing access to information is too difficult to integrate across systems and businesses. (2) With access to the right technology and tools, businesses can leverage the power of integration to optimize business decision-making. A robust, code-free data integration tool can streamline business processes by: 1- Oracle, 2017 https://www.oracle.com/technetwork/database/options/advanced-analytics/oracleapproachtodataandanalytics-3761912.pdf 2- Ventana Research n o i t a r g e t n i _ d n a _ n o i t a v o n n i _ _ n o i t a r g e t n i _ a t a d _ g n i k n i h t e r / a t a d _ g i b / c i h p a r g o f n i / m o c . h c r a e s e r a n a t n e v . w w w / / : s p t t h 3- The Importance of Data Quality -- Good, Bad or Ugly”, Forbes.com, June 5, 2017: https://www.forbes.com/sites/forbesinsights/2017/06/05/the-importance-of-data-quality-good-bad-or-ugly/ 4- Harvard Business Review, September 22, 2016: https://hbr.org/2016/09/bad-data-costs-the-u-s-3-trillion-per-year businesses believe that the ability to define, model, and lay out data is important or very important (2) 80% of the time and cost spent is just preparing the data for analysis (1) Data integration extracts, cleans, transforms, and combines data from heterogeneous source systems to create a unified view, and enable: Solving that problem is what data integration is all about! out of 2 3 out of of data analysts spend time in integrating and unifying sources (1) Sales Marketing Customer Service Product Information Financial Transactions Faster data access Improved decision-making Better collaboration with business partners Increased Revenue Availability of quality data //////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// 20% Extracting data from structured, unstructured, and semi-structured sources Converting data from different formats into a unified destination-compatible format Cleaning source information by applying data quality rules Loading transformed data into acentralized enterprise repository Explore how Astera Centerprise can help you extract valuable insights from heterogeneous data sources by downloading the free trial-version Download Visit: www.astera.com Find out more DERIVE VALUE FROM DISPARATE DATA SOURCES WITH DATA INTEGRATION
Transcript of Data integration infographic · 3- The Importance of Data Quality -- Good, Bad or Ugly”,...
80%
of organizations have to integrate information from
6 or more sources (2)
2 3
Enterprises generate a large amount of data from varying sources to execute their daily operations, including:
Each source plays a vital role in the pool of data, which when consolidated, can be analyzed to reveal strategically
vital information.
tnereffid morf gnirrucco atad no sesylana gnitcudnoc ni si egnellahc ehT sources and locations, each with its own unique
formatting standards.
The increase in the number of sources can make the process time-consuming and labor-intensive.
2/3 organizations said their current technology for providing access to information is too difficult to integrate across systems and businesses.(2)
With access to the right technology and tools, businesses can leverage the power of integration to optimize business
decision-making.
A robust, code-free data integration tool can streamline business processes by:
1- Oracle, 2017 https://www.oracle.com/technetwork/database/options/advanced-analytics/oracleapproachtodataandanalytics-3761912.pdf
2- Ventana Research noitargetni_dna_noitavonni__noitargetni_atad_gniknihter/atad_gib/cihpargofni/moc.hcraeseranatnev.www//:sptth
3- The Importance of Data Quality -- Good, Bad or Ugly”, Forbes.com, June 5, 2017: https://www.forbes.com/sites/forbesinsights/2017/06/05/the-importance-of-data-quality-good-bad-or-ugly/
4- Harvard Business Review, September 22, 2016: https://hbr.org/2016/09/bad-data-costs-the-u-s-3-trillion-per-year
businesses believe that the ability to define, model, and lay out data is important or
very important (2)
80% of the time and cost spent is just preparing the data for analysis (1)
Data integration extracts, cleans, transforms, and combines data from heterogeneous source systems to create a unified view, and enable:
Solving that problem is what data integration is all about!
out of
2 3out of
of data analysts spend time in integrating and
unifying sources (1)
Sales Marketing Customer Service
Product Information
Financial Transactions
Faster data access
Improved decision-making
Better collaboration with business
partners
IncreasedRevenue
Availability of quality data
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
20%
Extracting data from structured, unstructured, and
semi-structured sources
Converting data from different formats into a unified destination-compatible format
Cleaning source information by applying
data quality rules
Loading transformed data into acentralized enterprise repository
Explore how Astera Centerprise can help you extract valuable insights from heterogeneous data sources by
downloading the free trial-version
Download
Visit: www.astera.com Find out more
DERIVE VALUE FROM DISPARATE DATA SOURCES WITHDATA INTEGRATION
