sones company presentation
DESCRIPTION
The company presentation of sonesTRANSCRIPT
Create and Uncover Relationships.
About sones
(*)e.g.: Seman-c Web data, workflows, pictures, personal documents, loca-on, sensor data, eCommerce items, Facebook, TwiAer, blogs, mobile apps, configura-on data, your email inbox, CRM data
sones GraphDB is the first database for cloud computing that makes associations between complex data just like the human brain.
Company history
T-Venture invests First customer: T-Online(prototypes)
sones GmbH founded The basic concept of the DB structure is developed Financing with seed capital 3 employees
GraphDB 1.0 Initial proof of concept Customer saves on 100 servers with version 1.0 Start of OEM and partner sales strategy
GraphDB as an open source version à OSE 1.1 – 5,000 downloads during the first month GraphDB Cloud Edition on Azure
Series A financing round with TGFS Talend data integration Enterprise Edition license for telcos, web, data analysis New CEO and expanded management
§ How people access information today: • using the Web (no boundaries, unstructured) or • using databases (structured, boundaries)
§ How people will access information in the future: Sones GraphDB • using the Semantic Web, ontologies
(no boundaries, structured, automated)
Information - the capital of today and tomorrow
The current market
90% of data traffic today is
unstructured (worldwide)
Videos, photos, articles, user profiles,
news, groups, events...
In 2011, this digital universe will be 10 times bigger than it was in 2006 (IDC
prediction)
§ Cloud compu-ng data management’s unsolved issues (Cloud Compu-ng, Hype Cycle, Gartner): § Data security, data portability, user controls, reliability, concurrency and dynamic connec4ons
between data records (#) (data has to be shi:ed from one data center to another to process the informa4on)
Database Evolution
Graph-based concepts - latest innovation
Hierarch. Database Nearly “died out”
���
Today 70s
Search, Cloud Computing 60s 80s 90s Since 2000
Relational Database ERP, CRM, …
Dominating the market���
Object. Database
Niche-products,
Developers
���
Olap - and other concepts for
real time analytics ���
Key value based concepts for
search and Web ���
Graph based Content /
Application / Analytics / Search
���
Coldplay Band
Palo Alto City
Jane Person
IBM Company
Dave Person
Bob Person
Design Team Group
Stanford Alumnae Group
IBM.com Web Site
123.JPG Photo Dave.com
Weblog
Sue Person
Joe Person
Dave.com RSS Feed
Lives in Publisher of
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The database world
The innovation:
Coldplay Band
Palo Alto City
Jane Person
IBM Company
Dave Person
Bob Person
Design Team Group
Stanford Alumnae
Group
IBM.com Website
123.JPG Photo Dave.com
Web log
Sue Person
Joe Person
Dave.com RSS feed
Lives in
Publisher of
Friend of
Depiction of
Depiction of
Member of
Married to Member
of
Member of
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Fan of
Lives in
Subscriber to
Source of
Author of
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Employee of
Fan of
What is sones GraphDB?
sones GraphDB: § A new type of object-oriented, graph-based database management system § Enables efficient storage, management and evaluation of complex, highly connected data records § Combines the advantages of file storage with the possibilities of a database management system § Unstructured data and information (e.g., video files), semi-structured data (metadata, e.g., log files) and structured data (similar to SQL) can be linked to each other, which makes it possible for users to manage this data themselves and evaluate when necessary
What makes us different?
Persistence: Storage on a non-volatile storage medium
Flexible data modeling while the system is
running
§ Information and data are saved in object networks instead of tables.
§ The original data structure is maintained.
§ New paradigm: § Linking logic and data. Improved efficiency->real-time.
§ New functions for large numbers of queries on highly complex, distributed, dynamic data.
•Fewer processing steps required. •Cost advantages, competitive advantages
We do it differently
Universal data access
New database applications Social CRM
Scaling at the push of a button
Personalized recommendations
Targeting
Universal data access
Public profile data Can be linked with corporate data on Facebook Increased information density
Image data Type Dimensions Width Height Resolution Bit depth
Compression Camera Photographer Price …
Metadata
…
Develop your own solutions using a
flexible data structure
Your data remains consistent even when
modeled while the system running
Universal access no matter where your data
is stored
Links to your corporate data
Consolidation and links to other information
REST WebDAV SOAP
Automatically generates metadata from images, videos, music and documents
Relational data silos
GraphDB
Easy to manage
MySQL query SELECT w.word AS wort, k.sig AS sig FROM co_s k,
words w WHERE k.w1_id=(SELECT w_id FROM words w WHERE word = “Laptop”) AND k.w2_id=w.w_id ORDER BY k.sig DESC LIMIT
10;
GQL query
FROM Word SELECT Cooccurrences.TOP(10) WHERE Content = ‘Laptop’;
Easy-to-learn GQL query language
Can be scaled as you like – our
solution easily grows with your demands
Index
No. Subject … … … … … … … … … …
Index-based storage, simplifies storage and search processes
SEARCH
Rela-onal Database
Increasing amount of connected data
BeAer Performance
= Cost savings
Real-time analytics
Analysis and prioritization Relevant information
Recognizing and evaluating multidimensional relationships
Universal analytics
Low TCO
Highly scalable
Optimized processing power, up to 300% greater performance when
handling semi-structured data
€ $ JPEG …
No double data storage for data processing and
evaluation
Complex queries as in-depth as desired on the GraphDB call for less processing power due to their graph
structure
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Solution approaches
Cross-system duplicate recognition
Point of sale Real-time recommendations
Analyses of customer behavior
e.g.: churn detection
Locations
sones GmbH R&D Lab Eugen-Richter-Straße 44 99085 Erfurt Germany Mail: [email protected] Tel.: +49 (0)361/ 3026 250 Fax: +49 (0)361/ 2445 008
sones GmbH Headquarters Schillerstraße 5 04109 Leipzig Germany Mail: [email protected] Tel.: +49 (0) 341/ 3929 680 Fax: +49 (0) 361/ 2445 008
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Appendix Application examples
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§ Image portal - Increases sales of images since the right image can be found much more quickly or is automatically recommended
§ AB testing - Fast and easy evaluation of marketing campaigns Real-time analysis also possible during implementation
§ Click-path analysis - e.g., via which paths do customers access the portal
Web
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§ Link building – Automatically links relevant pages/content, checks completeness of references, makes automatic recommendations of links to appropriate pages (according to topic or other criteria).
§ SEO – Optimized search results (e.g., with Google).
The system does not directly link pages but generates “link chains” that provide the desired depth (e.g., 4 plus x).
§ Content management - Providing the right content to
the right user in the right context at the right time
Web / content
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§ Enterprise Search/Enterprise Storage - Access to all data present internally regardless of their data silo. With the option of saving changes in that same location. Supplements internal data with external information from the Web (e.g. blogs/web portals/social networks).
§ Central metadata repository - Universal data access layer, centrally manage corporate data. Link data from diverse editorial sources (images, articles, etc.)
Universal data access
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§ Analysis of user behavior - How do visitors/customers behave on the corporate website?
§ Customer/user group evaluation § SRM (social CRM) – Supplementing existing customer
data with customer data from sources such as social networks, e.g., Facebook. Intention: to develop a holistic picture of the customer. When customer X calls, sales agents/customer agents can access both the internal customer status as well as information on the customer that they have posted on blogs, social networks, etc.
Social graph
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§ Campaign management - Addressing campaigns to the right customers at the right time.
§ Automatic categorization (e.g., job profiles for job
portals) - Semantic categorization in order to increase the quality of job ads, etc., on the portal.
§ Social networks - Real-time friend-of-a-friend calculation. Who do I know through WHOM? Customizable path query with desired depth possible ad-hoc.
Social net
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§ eCommerce - Recommendations regarding the right products made to the right customers at the right time (customer-specific advertising), regional targeting. Goal: To increase the number of items sold.
§ eCommerce - Optimizing costs by reducing the
number of items returned – Automatic recognition of “safe” returns, conducting pre-defined processes, e.g., recommending suitable products, increasing costs for shipping, etc.
eCommerce
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§ Adding social commerce, i.e., recommendations from/to friends in the friendship graph (i.e., also multi-hop!) or
§ product graphs (shared shopping possible) § for members of a group or similar shopping behaviors
§ e.g., same brand regarding individual products § e.g., same interests/groups/rated products
Social commerce
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§ Affiliation management – Who is affiliated with which companies? Direct storage of related information such as minutes of meetings, company agreements, etc.
§ Visualization – Simple, interactive depiction of relationship networks/connections/relationships. Intuitive use (e.g.,. via Silverlight)
§ Geomapping - Linking the data mentioned above with
geoinformation Where are customers/subscribers located? (and why?)
Visualization
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§ Recalls, e.g., for cars: Ad-hoc report of all the people who purchased a car in which the defective part is installed.
§ Parts tracking – Who installed which part when? Which supplier can deliver a specific product at a certain time for the lowest price?
§ Semantic Web – social tagging, processing user generated content, crowd sourcing, social media monitoring
Miscellaneous
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§ Configuration management database
• Definition according to Wikipedia In the IT Infrastructure Library (ITIL) context, a CMDB is a database that is used to access and manage configuration items. All IT resources are classified as configuration items (CI) in the context of IT management. […] In this context, this refers to the existing pool and the interdependencies of the objects being managed.
• Specification: federation (metadata management) / reconciliation (target/current state comparisons) / mapping & visualization / synchronization
sones graphDB can be described as the only real CMDB
CMDB
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Disclaimer
General Disclaimer This document is not to be construed as a promise by any participating company to develop, deliver, or market a product. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. sones GmbH makes no representations or warranties with respect to the contents of this document, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. The development, release, and timing of features or functionality described for sones products remains at the sole discretion of sones. Further, sones GmbH reserves the right to revise this document and to make changes to its content, at any time, without obligation to notify any person or entity of such revisions or changes. All sones marks referenced in this presentation are trademarks or registered trademarks of sones GmbH and other countries. All third-party trademarks are the property of their respective owners.