Data Quality ManagementData Quality Monitoring & Reporting Use AI and machine learning to keep...

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USE CASES Data Discovery & Profiling Data discovery and profiling is the first step in any data project. Employ smart, automated metadata discovery algorithms and AI to learn more about your data, and its structure and content. Find dependencies, categorize and describe data, empower data users to make smarter, more informed decisions, and prevent costly mistakes. Store your findings in a central data catalog for future projects. Issue resolution ONE Engine Monitoring results Exports Retrieve data for DQ processing 1 2 Cleansed & merged data back into data sources 3 4 Summary DQ reports 5 DQ issues for manual resolution 6 Data corrections and extensions of the DQ rules Cleansed and merged data (exports) Data Quality Management Improve your data quality to leverage the full potential of your data. Ataccama ONE Data Quality Management fits any IT infrastructure, responding to your specific business needs with a robust and flexible back-end engine and an easy-to-use, business-oriented interface. DATA QUALITY MANAGEMENT

Transcript of Data Quality ManagementData Quality Monitoring & Reporting Use AI and machine learning to keep...

Page 1: Data Quality ManagementData Quality Monitoring & Reporting Use AI and machine learning to keep information about your current data quality state readily available for faster, improved

U S E C A S E S

D a t a D i s c o v e r y & P r o f i l i n g

Data discovery and profiling is the first step in any data project. Employ smart, automated metadata discovery algorithms and AI to learn more about your data,

and its structure and content. Find dependencies, categorize and describe data, empower data users to make smarter, more informed decisions, and prevent costly mistakes. Store your findings in a central data catalog for future projects.

Issue resolution

ONE Engine

Monitoring results

Exports

Retrieve data for DQ processing1

2 Cleansed & merged data back into data sources 3

4 Summary DQ reports

5 DQ issues for manual resolution

6 Data corrections and extensions of the DQ rules

Cleansed and merged data (exports)

Data Quality ManagementImprove your data quality to leverage

the full potential of your data. Ataccama

ONE Data Quality Management fits any IT

infrastructure, responding to your specific

business needs with a robust and flexible

back-end engine and an easy-to-use,

business-oriented interface.

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Page 2: Data Quality ManagementData Quality Monitoring & Reporting Use AI and machine learning to keep information about your current data quality state readily available for faster, improved

D a t a Q u a l i t y M o n i t o r i n g & R e p o r t i n g

Use AI and machine learning to keep information about

your current data quality state readily available for faster,

improved decision making. See trends, view full history,

compare versions, and get accurate and timely visual

reports shared across your company. Utilize a set of reports

which allow managers to monitor the status of a process

as well as keep track of data steward performance. This

can be done in current time or historically. Do all of this

directly from a web app as part of a complete, end-to-end

self-service scenario.

D Q E v a l u a t i o n

Drill to detail original records to see the context of a problem.

With our flexible, modular platform, enjoy native integration

with other Ataccama ONE modules and extend your solution

to cover additional use cases (from data cataloging to MDM

and more) as needed.

R u l e M a n a g e m e n t

Ataccama ONE validation rule management is

collaborative and easy-to-use, and provides results

for a wide variety of business users and third party

applications. Multiple approaches to rule implementation

include simple sentence-like conditions and rich expression

language. Use the rules on everything from getting fast

“one-click” data insights to fully governed DQ Monitoring

solutions.

D a t a P r e p a r a t i o n

Leverage a data catalog and its collaborative features to

accelerate data prep. Enable efficient work for users at various

skill levels, including data citizens (exploring and consuming

data in projects), data scientists (preparing data for further

analysis), data engineers (preparing and consolidating data

for others or for projects, and IT (system administration,

process monitoring, and resource monitoring). Reduce

time spent on repetitive and non-creative tasks with the

help of automated tasks, AI, smart assistance, a self-services

approach, and user collaboration support. Data stewards and

data citizens have access to full data lineage to investigate

the origin of any data element in their data set.

D a t a S t a n d a r d i z a t i o n & C l e a n s i n g

Standardize, clean, validate, correct, transform, and

enrich your data. Leverage an extensive set of pre-defined

C L I E N T R E V I E W S

GARTNER PEER INSIGHTS

Read about our clients’ experience with our tools.

Review our products.

G A R T N E R . C O M / R E V I E W S ( A T A C C A M A )

Page 3: Data Quality ManagementData Quality Monitoring & Reporting Use AI and machine learning to keep information about your current data quality state readily available for faster, improved

algorithms, or create your own. Harness available

information from various data sources to make your data

more complete and consistent. Best of all, do it all locally

or in the cloud.

I s s u e Tr a c k i n g & M a n u a l R e s o l u t i o n

Identify, monitor, and resolve data quality issues that

cannot be resolved automatically. Provide an all-in-

one environment for your data stewards to efficiently

and reliably correct errors, perform manual cleansing,

eliminate duplicates, and manually match and merge

where automated processes are insufficient or prone to

risk. Easily propagate the issue resolution and corrected

data to all related systems, ensuring everyone works with

the best data available.

D a t a Q u a l i t y F i r e w a l l

Prevent bad data from entering your systems with a

powerful data quality firewall. Extend current cleansing

and matching processes with a component preventing

users from creating new data quality issues in your

systems. Be confident that any and all edited or newly

entered data is accurate.

M a t c h i n g

Identify duplicate records representing the same entity

(customers, patients, products, locations, or others) with

deterministic or fuzzy matching rules. Use various edit

distance metrics, phonetic algorithms, and other sophisticated

methods to uncover hidden relationships in your data.

A n o m a l y D e t e c t i o n

Use AI to detect irregularities in data loads, including

data volume changes, outliers, changes in data

characteristics, and more. Watch it improve over time

as the solution learns from the user’s approach to

reported anomalies.

F E A T U R E S

B i g D a t a Wo r l d R e a d y

Ataccama ONE Big Data Processing covers the entire data

integration, ingestion, transformation, preparation, and

management process, including data extraction, import to a

data lake and Hadoop, cleansing, and general processing. This

ensures data is ready for further analytics at the right place

and time, and in the right format. All configuration happens

through an intuitive interface, allowing business users to

process and shape data without the need for Hadoop-specific

knowledge such as MapReduce or Spark.

A I & M a c h i n e L e a r n i n g

Artificial intelligence and machine learning in Ataccama ONE

is used in two primary ways:

To simplify and automate the configuration process,

including automated metadata discovery, automated project

Page 4: Data Quality ManagementData Quality Monitoring & Reporting Use AI and machine learning to keep information about your current data quality state readily available for faster, improved

configuration, evaluation of results, and finding relevant

examples for the impact of any configuration change.

AI at runtime, including machine learning-based

matching, cleansing and classification, active learning

from user interactions (especially from issue resolution),

and anomaly detection in data loads.

C o n f i g u r a b l e Wo r k f l o w s

All aspects of the issue resolution process are fully configurable,

including the number of steps in the workflow, conditions,

permissions, actions to be performed, and more. Different

workflows can be used for different types of issues, systems,

or entities.

R o l e - B a s e d S e c u r i t y

Provide full, role-based security with the option to leverage

organizational structure to provide even finer-grained

access control based on an employee’s role or department.

We provide a Single Sign-On solution out of the box and can

utilize your existing LDAP solution.

G E T S T A R T E D

ASK FOR A DEMO

See what we can do for your data project. Get in touch to see a full demo of Ataccama ONE.

I N F O @ A T A C C A M A . C O M

TRY ONE–CLICK DATA PROFIL ING

Free account. Instant insights.

O N E . A T A C C A M A . C O M

LOOK FOR US IN THE MAGIC QUADRANTS

Gartner Magic Quadrant for Data Quality ToolsGartner Magic Quadrant for MDM Solutions

READ HOW MACHINE LEARNING TRANSFORMS DATA MANAGEMENT

A T A C C A M A . C O M / F R E E M I U M

ATACCA M A O N E: A I- POW E R E D DATA CU R AT I O N F O R D I G I TA L T R A NSF O R M AT I O N

Discover more p latform modules at ataccama.com

Data Discovery & Profiling

Metadata Management & Data Catalog

Data Quality Management

Master & Reference Data Management

Big Data Processing & Data Integration

D a t a D o m a i n I n d e p e n d e n t

Evaluate, monitor, and improve

the quality of your data,

regardless of data domain. Work

with your customer, product,

transactional, and other data

simultaneously.

F u l l A u d i t H i s t o r y

Keep a full audit history of all

changes made. This information

can be readily used for

determining “who, when, what,

and why” as well as constructing

advanced reports.

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