Data management and analytics for Sage Line 500 A fast

Data management and analytics for Sage Line 500 A fast, simple way to collect, prepare and analyse Sage Line 500 data and unify it with other data sources for a single, trusted view of your business. Key features

Key benefits

• Pre-packaged data connector, data model, and analytics for Sage Line 500

• Remove cost, time and risk of manual data consolidation and/or data warehouse build

• Automated collection and integration of other data sources with Sage Line 500

• Uncover new insights with accurate, trusted hub of data from across the business

• Pre-packaged, Sage Line 500 KPIs, analytics and dynamic role-based dashboards

• Maintain access to historic Sage Line 500 data, if moving to Sage X3

It is quicker and easier to collect, prepare and analyse data from Sage Line 500 with Sage X3 Data Management and Analytics (SDMA). SDMA’s pre-packaged components and automated routines remove the technical effort of extracting insight from Sage Line 500 and integrating it with other data sources for business-wide visibility. With SDMA, there is no manual consolidation of data, or costly and time consuming data warehouse projects.

The result is the rapid deployment of a governed data hub, with fast ROI, and predictable total cost of ownership.

SDMA’s pre-packaged Smart data connector, data model and analytics for Sage Line 500 significantly reduces the technical effort of collecting, integrating and analysing data.

Access to Sage Line 500 data is maintained, even if you decide to move to Sage X3. SDMA retains Sage Line 500 data and makes it accessible for historical reporting from Sage X3. There is no need to build and maintain a proprietary data warehouse, load data into the live Sage X3 database, or potentially lose historic insight.

Sage X3 data management and analytics

Salesforce

OData

SDMA

A quicker, simpler, more cost-effective way to become a high performing data-driven business • Get an accurate, trusted view of financial and operational business performance

• Align to technology strategy by deploying on-premises, in the Cloud or in a hybrid model

• Measure performance with best-practice, industry-specific KPIs and analytics

• Plan a predictable TCO with a solution that scales cost-effectively with business needs

• Empower staff to proactively improve and problem solve with role-based dashboards

• Achieve a fast ROI with self-service education and rapid user adoption of analytics across all functions and roles

• IT and Analysts can manage the system easily and deliver reports with no SQL skills required

• Remove risk of key-man dependency attached to a proprietary data warehouse and inaccuracy of manual data preparation

Solution overview

Hybrid BI scalability

Pre-set, flexible data models

• Cloud, on-premises or hybrid deployment of any element of the product

• Pre-packaged data models for multiple vendor applications e.g. ERP, CRM, HRM

• Private or public cloud, with public deployment based on AWS and/or Azure

• Flexible data model architecture to meet specific reporting needs

• Data gateway for optimised, simple access to cloud or on-premises data sources

• Intuitive, drag-and-drop data modelling UI removes need for data experts

• Highly flexible architecture scales as users and data requirements grow

• Data warehouse and semantic layer automation

Automated data integration

Pre-packaged analytics

• Pre-set Smart data connectors for multiple applications and data sources

• Powerful design and collaboration tools

• Rich data connectivity to source metadata and application-specific logic of structures • Automated data merging with tables and source data integrated into main data source • Multi-company and multi-lingual caption extraction and customisation detection

• Reusable elements include calculations, reports, and charts • Cross-functional with native cross ledger analysis • Rich touch-optimised visualisations with drill up, down, across and through, on any device

Built-in data governance • Administration and security with four layers of configuration • Auditing and monitoring for detailed activity logging with dashboard visualisation • Version lifecycle management tools

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