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column_spacing=”” rule_style=”” rule_size=”” rule_color=”” hue=”” saturation=”” lightness=”” alpha=”” user_select=”” content_alignment_medium=”” content_alignment_small=”” content_alignment=”justify” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” class=”” id=”” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” fusion_font_family_text_font=”” fusion_font_variant_text_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” animation_type=”” animation_direction=”left” animation_color=”” animation_speed=”0.3″ animation_delay=”0″ animation_offset=”” logics=””]Client Name: Anonymised Consumer Goods Company
Industry: Consumer Goods
Location: Global
About the Client: The client is a global leader in the manufacturing and distribution of consumer products, with a portfolio spanning multiple product categories.[/fusion_text][fusion_title title_type=”text” marquee_direction=”left” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” rotation_text=”” highlight_text=”” after_text=”” title_link=”off” link_url=”” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” class=”” id=”” content_align_medium=”” content_align_small=”” content_align=”left” size=”5″ animated_font_size=”” fusion_font_family_title_font=”” fusion_font_variant_title_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” hue=”” saturation=”” lightness=”” alpha=”” animated_text_color=”” text_shadow=”no” text_shadow_vertical=”” text_shadow_horizontal=”” text_shadow_blur=”0″ text_shadow_color=”” text_stroke=”no” text_stroke_size=”1″ text_stroke_color=”” text_overflow=”none” margin_top_medium=”” margin_right_medium=”” margin_bottom_medium=”” margin_left_medium=”” margin_top_small=”” margin_right_small=”” margin_bottom_small=”” margin_left_small=”” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” margin_top_mobile=”” margin_bottom_mobile=”” gradient_font=”no” gradient_start_color=”” gradient_end_color=”” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ highlight_color=”” style_type=”default” sep_color=”” link_color=”” link_hover_color=”” animation_type=”” animation_direction=”left” animation_color=”” animation_speed=”0.3″ animation_delay=”0″ animation_offset=””]
Challenges / Pain Points
[/fusion_title][fusion_text columns=”” column_min_width=”” column_spacing=”” rule_style=”” rule_size=”” rule_color=”” hue=”” saturation=”” lightness=”” alpha=”” user_select=”” content_alignment_medium=”” content_alignment_small=”” content_alignment=”justify” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” class=”” id=”” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” fusion_font_family_text_font=”” fusion_font_variant_text_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” animation_type=”” animation_direction=”left” animation_color=”” animation_speed=”0.3″ animation_delay=”0″ animation_offset=”” logics=””]
- Problem Statement: The client faced challenges in centralising data from various regions and product divisions, which resulted in inefficiencies in their supply chain and demand forecasting processes. Their legacy data systems were unable to process the required volume of data quickly enough for real-time decision-making.
- Impact of the Problem: The inefficiencies led to delays in product launches, inaccurate demand forecasts, and higher operational costs.
[/fusion_text][fusion_title title_type=”text” marquee_direction=”left” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” rotation_text=”” highlight_text=”” after_text=”” title_link=”off” link_url=”” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” class=”” id=”” content_align_medium=”” content_align_small=”” content_align=”left” size=”5″ animated_font_size=”” fusion_font_family_title_font=”” fusion_font_variant_title_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” hue=”” saturation=”” lightness=”” alpha=”” animated_text_color=”” text_shadow=”no” text_shadow_vertical=”” text_shadow_horizontal=”” text_shadow_blur=”0″ text_shadow_color=”” text_stroke=”no” text_stroke_size=”1″ text_stroke_color=”” text_overflow=”none” margin_top_medium=”” margin_right_medium=”” margin_bottom_medium=”” margin_left_medium=”” margin_top_small=”” margin_right_small=”” margin_bottom_small=”” margin_left_small=”” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” margin_top_mobile=”” margin_bottom_mobile=”” gradient_font=”no” gradient_start_color=”” gradient_end_color=”” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ highlight_color=”” style_type=”default” sep_color=”” link_color=”” link_hover_color=”” animation_type=”” animation_direction=”left” animation_color=”” animation_speed=”0.3″ animation_delay=”0″ animation_offset=””]
Objectives / Goals
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- Client’s Goals: To build a unified data platform that would enable real-time data processing across all regions and improve collaboration between supply chain, marketing, and sales departments.
- Why Datacolor.ai: The client chose Datacolor.ai due to their proven expertise in creating scalable Databricks-based architectures that align with large multinational operations.
[/fusion_text][fusion_title title_type=”text” marquee_direction=”left” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” rotation_text=”” highlight_text=”” after_text=”” title_link=”off” link_url=”” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” class=”” id=”” content_align_medium=”” content_align_small=”” content_align=”left” size=”5″ animated_font_size=”” fusion_font_family_title_font=”” fusion_font_variant_title_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” hue=”” saturation=”” lightness=”” alpha=”” animated_text_color=”” text_shadow=”no” text_shadow_vertical=”” text_shadow_horizontal=”” text_shadow_blur=”0″ text_shadow_color=”” text_stroke=”no” text_stroke_size=”1″ text_stroke_color=”” text_overflow=”none” margin_top_medium=”” margin_right_medium=”” margin_bottom_medium=”” margin_left_medium=”” margin_top_small=”” margin_right_small=”” margin_bottom_small=”” margin_left_small=”” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” margin_top_mobile=”” margin_bottom_mobile=”” gradient_font=”no” gradient_start_color=”” gradient_end_color=”” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ highlight_color=”” style_type=”default” sep_color=”” link_color=”” link_hover_color=”” animation_type=”” animation_direction=”left” animation_color=”” animation_speed=”0.3″ animation_delay=”0″ animation_offset=””]
Solution Provided
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Overview of the Solution: Datacolor.ai designed and implemented a Databricks Lakehouse architecture that enabled real-time data ingestion from multiple regions and divisions. This architecture provided the scalability and speed necessary to support the client’s global operations.
Key Features:
- Real-time data ingestion and processing.
- Centralised governance for data security.
- Advanced analytics for demand forecasting.
[/fusion_text][fusion_title title_type=”text” marquee_direction=”left” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” rotation_text=”” highlight_text=”” after_text=”” title_link=”off” link_url=”” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” class=”” id=”” content_align_medium=”” content_align_small=”” content_align=”left” size=”5″ animated_font_size=”” fusion_font_family_title_font=”” fusion_font_variant_title_font=”” font_size=”” line_height=”” letter_spacing=”” text_transform=”” text_color=”” hue=”” saturation=”” lightness=”” alpha=”” animated_text_color=”” text_shadow=”no” text_shadow_vertical=”” text_shadow_horizontal=”” text_shadow_blur=”0″ text_shadow_color=”” text_stroke=”no” text_stroke_size=”1″ text_stroke_color=”” text_overflow=”none” margin_top_medium=”” margin_right_medium=”” margin_bottom_medium=”” margin_left_medium=”” margin_top_small=”” margin_right_small=”” margin_bottom_small=”” margin_left_small=”” margin_top=”” margin_right=”” margin_bottom=”” margin_left=”” margin_top_mobile=”” margin_bottom_mobile=”” gradient_font=”no” gradient_start_color=”” gradient_end_color=”” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ highlight_color=”” style_type=”default” sep_color=”” link_color=”” link_hover_color=”” animation_type=”” animation_direction=”left” animation_color=”” animation_speed=”0.3″ animation_delay=”0″ animation_offset=””]
Implementation Process
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Steps Taken:
- Discovery phase to assess current data silos and pain points.
- Design of a unified data architecture using Databricks.
- Integration of data pipelines from all regional operations.
- Testing and optimising for performance and scalability.
Collaboration: Datacolor.ai worked closely with the client’s global IT and operations teams, ensuring the architecture aligned with operational requirements.
Timeframe: 6 months from design to full deployment.
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Results / Impact
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Quantifiable Results:
- 40% improvement in demand forecasting accuracy.
- 25% reduction in supply chain costs.
- Enhanced decision-making across global operations due to real-time insights.
Client Feedback: “The unified architecture designed by Datacolor.ai has significantly improved how we manage our data across the globe. It has helped us make more informed, data-driven decisions.”
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