• No results found

warehouse landscape for HINC

N/A
N/A
Protected

Academic year: 2021

Share "warehouse landscape for HINC"

Copied!
16
0
0

Loading.... (view fulltext now)

Full text

(1)

HINC

TraNsformINg THe daTa

wareHouse laNdsCape for

THe fINaNCIal INdusTry

by graz

(2)

A data warehouse pre-configured for the financial

industry significantly reduces the costs and risks

associated with reporting and analysis.

Exactly what Hinc provides.

Content

4 reasons for Choosing hinC 4

Constant innovation is

now a basiC requirement 6

hinC is a proven produCt 8

what hinC brings to the table 10

enterprise-Class support 12

implementation 13

(3)

HINC – tr aNsformINg tHe data wareHouse l aNdsCaPe for tHe fINaNCIal INdustry

3

A unique data warehouse

for the financial industry

Hinc is a proven and pre-configured data warehouse enabling our customers to improve their operational efficiency and lower their operational risk with respect to reporting and analysis.

Serving major parts of the financial industry

Hinc handles cross-industry segments and cross-asset classes. It is used by asset managers, fund managers, wealth and discretionary managers, investment banks, treasury and insurance companies. Hinc has well-proven report applications for le-gal reporting, business intelligence and more.

All data in a single place

Hinc reduces data integration complexity – elegantly, quickly, and cost-effectively, by gathering all data in a single place. This drives reporting and analytical efficiency.

What makes us different?

Hinc is pre-configured for the financial industry, allowing simultaneous analysis and reporting of data from multiple data sources. The pre-defined and configured data model provides auditability, security, authorization control, data verification and in-terfaces to standard systems.

What do you gain?

➔ Greater insights from more efficient operations

➔ Lower risk levels through more trustworthy and accessible data ➔ Significantly lower data integration costs

(4)

4 reasoNs for

CHoosINg HINC

Business

logic in the

data model

Hinc is the first standardi-zed data warehouse that combines the benefits of a data warehouse and flexible business logic with structured reporting for investment management organizations.

1

All data in

one place

Hinc provides a complete set of business data in a single area. By collecting and structuring data to fit reporting processes – as well as a “store-once, use-many-times” princi-ple, Hinc creates value by making reporting and analytical processes more efficient. Repeated data harmonization becomes unnecessary.

2

Hinc’s comprehensive data model covers major sectors of the financial industry, with multiple versions of the elements you need: holdings, transactions, portfolios, accounts, products, securities, prices, curren-cies, corporate actions, organization, insurance roles, key figures, etc.

3

Future-proof

Hinc’s data model can easily be extended with rules for data interpreta-tion. No matter which way the data is structured, is easy to extract in an usable format.

4

(5)

HINC – tr aNsformINg tHe data wareHouse l aNdsCaPe for tHe fINaNCIal INdustry

5

Comprehensive data coverage

Hinc’s data model covers a great many functional domains, supporting reporting and analytical processes across different types

(6)

CoNsTaNT

INNovaTIoN Is Now a

basIC requIremeNT

Investment in data modeling

Graz recognized early that, without a well-designed data model, development of efficient reporting and analytical processes becomes much more difficult and more expensive to maintain. That’s why Graz has invested intensely in developing a comprehensive, general data model for the financial industry since 2003. Hinc was designed for processes that must integrate data from a wide variety of sources and formats. This innovation has been put into practice. And it works.

Transforming the data warehouse landscape

(7)

HINC – tr aNsformINg tHe data wareHouse l aNdsCaPe for tHe fINaNCIal INdustry

7

Constantly changing requirements

With the increasing regulatory burdens and costs of Solvency, MiFID and Basel, the benefits of having a flexible and scalable solution for reporting and analysis – one tuned to changing business demands – are becoming even more apparent.

(8)

HINC

Is a proveN

produCT

Leveraging best practice

Hinc has been designed from the beginning as a data warehouse pre-configured for the financial industry. It comes complete with a powerful data model and integrated business logic that covers cross-asset classes, sub-industries and reporting domains.

Unlike general-purpose data warehouse offerings, Hinc is not a platform that re-quires vast amounts of resources to implement and even more resources to make updates as business requirements change.

Customization without expensive risks

Customers will achieve the customized effects their business demands, but without expensive, risky customized development. They can easily complement the data mo-del with their own unique data concepts, risk momo-dels and business algorithms. Keep-ing risk values, key figures and dynamic fields current is part of the plan.

Maintain independence

(9)

9

HINC – THE PROvEN DATA WAREHOUSE FOR THE FINANCIAL INDUSTRy

(10)
(11)

HINC – tr aNsformINg tHe data wareHouse l aNdsCaPe for tHe fINaNCIal INdustry

11

Data virtualization

At Graz, we believe that the data model is crucial for creating a data warehouse that will add business value for our clients. Hinc is built around a data virtualization technology that greatly reduces the complexity of the underlying data, which in turn greatly increases the flexibility and scope of the data model. Customers can re-use the extracted business data for multiple reports and analyses, reducing costs significantly.

Features and benefits

➔ Store all business data in one area. This will give the organization easy and cost-effective access to the entire data universe.

➔ A comprehensive data model with cross-industry and multiple segment coverage. ➔ Built-in auditability, security, authorization control, data verification

and interfaces to standard systems.

➔ Integrated business logic for creating state-of-the-art applications for reporting and analysis.

➔ Proven technology for automatic contextual data integration, which eliminates the need for system owners to harmonize data between different business systems.

Smart integration reduces costs

The Hinc data warehouse structure uses layered integration rather than point-to-point

integration. This means customers don’t have to continually re-integrate every time their

(12)

eNTerprIse-Class

supporT

Graz provides

enterprise-class support for Hinc that takes a long-term perspective, together with proven collaborative processes for ad hoc support, monitoring, quality control and follow-up. The Graz support team provides proactive control of the system and fixes potential problems before they become problems.

We offer efficient and safe upgrades for both test and operational environ-ments using well documented processes and built-in system functionality for deployment – complete with roll-back capability. Customers can deploy new functionality with just a few clicks – without assistance from their IT departments.

Internationally recognized

certification for quality

(13)

HINC – tr aNsformINg tHe data wareHouse l aNdsCaPe for tHe fINaNCIal INdustry

13

Joint planning minimizes risk

and maximizes predictability

After agreeing on realistic goals, scope and phase structures with the customer, our im-plementation model starts with a rapid proof-of-concept pilot. This establishes core fun-ctionality and processes, demonstrating the scope of changes and achievable business benefits. We offer well-defined, clear operational processes for all phases, along with focused project management and dedicated project resources. Hinc’s powerful data model is mapped onto the customer’s organization and workflow. Integration is followed by thoroughly documented testing and verification against the project plan and goals.

With over 150 successful implementations, our track record speaks for itself.

Less strain on internal resources

Since Hinc is pre-configured for the financial industry and has a ready-made interface, it allows customers to make more efficient use of current resources while guaranteeing faster system integration. Our integration modules enable a customer organization to access its business information without the help of external IT resources. Hinc has a lightweight, flexible layer that sends the data to whichever output format is used.

Proven interfaces for many systems

Hinc has a growing number of proven interfaces for the top tier business systems across industry segments, which both reduces costs and increase the speed of im-plementation. Hinc re-use existing customer interface technology in combination with standardized systems such as Dimension, Geneva Reuter, Bloomberg, etc.

Preserve system performance

With Hinc data can be structured to fit processes, making it faster and easier to ana-lyze, report and distribute quality data. Customers can apply complex business logic to their data while preserving system performance.

(14)

abouT graz

An experienced partner with

deep domain knowledge

Graz is a leading provider of technology and domain knowledge for the financial in-dustry. Graz delivers data warehouse solutions that are used by large global asset managers, insurance companies, investment banks and fund managers.

Delivering innovation and flexibility

Firms within the financial industry operate in an increasingly fast-paced and competi-tive environment. They need every advantage they can get to capitalize on new mar-ket opportunities, comply with complex regulations and, above all, deliver the quality of service and products that enables them to retain and attract clients. This requires a flexible and scalable platform for meeting new business requirements. Exactly the solution that Graz offers with Hinc.

Certified for quality and security

(15)

HINC – tr aNsformINg tHe data wareHouse l aNdsCaPe for tHe fINaNCIal INdustry

15

proven graz technology and solutions are used…

➔ To analyze 3,500,000 customers

➔ For solvency reporting by 12 insurance companies ➔ By customers who have €120 billion in assets under management

➔ For secure web reporting for thousands of private banking customers

➔ To analyze data from 120 banks

(16)

HINC

iS a proven and pre-conFigured daTa warehouSe enaBling our cuSTomerS To improve Their operaTional eFFiciency and lower Their operaTio-nal riSk wiTh reSpecT To reporTing and aoperaTio-nalySiS. hinc handleS croSS-induSTry SegmenTS and croSS-aSSeT claSSeS. iT iS uSed By aSSeT managerS, Fund mana-gerS, wealTh and diScreTionary manamana-gerS, inveSTmenT BankS, TreaSury and inSurance companieS. hinc haS well-proven reporT applicaTionS For legal reporTing, BuSineSS inTelligence and more.

vIsIT us aT

WWW.GRAz.SE

or CoNTaCT us aT

+46 (0)8 650 3400.

References

Related documents

Related to this challenge, this report addresses a comparative study on higher education dropout and completion in Europe (HEDOCE). It is based on an extensive review of

Advanced Papers Foundation Certificate Trust Creation: Law and Practice Company Law and Practice Trust Administration and Accounts Trustee Investment and Financial

In December 2004, Shire was notified that Colony had submitted an ANDA under the US Hatch-Waxman Act seeking permission to market its generic versions of the 5mg, 10mg, 15mg,

This is because space itself is to function as the ‘form’ of the content of an outer intuition (a form of our sensi- bility), as something that ‘orders’ the ‘matter’

Null Hypothesis (H 0 4): Patient adherence to antidiabetic medication (Morisky 8- item Adherence Scale) and HbA1c levels are not statistically significant predictors of the severity

Strategy #4: Review and update comprehensive park plan Action Step #1: Identify financial costs of plan components Action Step #2: Research funding options. Action Step #3:

The vast majority of studies in this review (thirty of thirty-six) were cross-sectional in design. This design has several advantages, particularly with rare populations, such as

For instance, Dolcos & McCarthy (2006) showed that negative pictures presented during the delay interval of a working memory (WM) task impair cognitive performance, and